Explore 6 python developer iii jobs from 3 hiring companies in Keystone, CO, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-developer-iii

Python Developer Iii

Silverthorne

Breckenridge

Frisco

Lakewood

Boulder

Arvada

Golden

Ken Caryl

Edwards

Columbine

Wheat Ridge

Bailey

Superior

Vail

Evergreen

Avon

Dillon

Roxborough Park

Applewood

Python Developer Iii Jobs

Workday

Google

Electra

Hybrid

Onsite

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamDo you want to build AI-powered software that impacts millions of people every day? The AI Core team, part of Workday’s AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications.About the RoleAs a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised. Additionally, you will develop and deploy new APIs/services using Docker/Kubernetes at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. Sound like your kind of challenge? You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well-designed code while delivering solutions efficiently. Specifically, you will:<ul><li>Own exploration, design and implementation of features for our sophisticated ML platforms, pipelines and services. </li><li>Be responsible for evaluation, scalability and observability of these features.</li><li>Apply machine learning techniques including LLMs and natural language understanding to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud-based machine learning architectures</li><li>Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation</li><li>Serve as a technical role model for more junior engineers</li></ul>About You​Basic Qualifications:<ul><li>Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent</li><li>3&#43; yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</li><li>3&#43; years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models</li><li>3&#43; years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)</li></ul>Other Qualifications:<ul><li>3&#43; years of professional experience in building information retrieval systems and/or graph-based recommendation systems. </li><li>3&#43; years of hands-on professional experience in developing large language models (LLMs), text generation models, or graph-based machine learning models for production, including data processing, model fine-tuning, model deployment and model evaluation</li><li>3&#43; years of professional experience building services to host machine learning models in production at scale  </li><li>3&#43; years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as PySpark, Pytorch, TensorFlow, and Sklearn</li><li>3&#43; years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker</li><li>Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases</li><li>Professional experience in independently solving ambiguous, open-ended problems and technically leading teams</li></ul> Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: USA.CO.Boulder  Primary Location Base Pay Range: $143,400 USD - $215,200 USD  Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USDAdditional Considerations: <div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/30/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III

3+ years in ML/DS or software development; strong Python; cloud experience; LLM/IR/graph ML background.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration. We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.About the RoleWe are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul>#LI-JH1 Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: CAN.ON.Toronto  Primary Location Base Pay Range: $156,000 CAD - $234,000 CAD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $171,600 - $257,400 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/10/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform

Machine Learning Engineer

3+ years ML systems; NLP, IR, recommender; Python, PyTorch/TensorFlow; MLOps, Docker/K8s; PEFT, cloud deployment; 6+ years for senior track; Master’s/PhD preferred.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration.About the RoleWe are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of &#34;AI-first&#34; products.We are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: 0.5&#43; years of proven track record of building and evaluating NLP and LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: 0.5&#43; years expert-level Python experience with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: 1&#43; years of proven track record of building and evaluating NLP and LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: 1&#43; years of expert-level Python experience with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul> Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: USA.CO.Boulder  Primary Location Base Pay Range: $171,600 USD - $257,400 USD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: <div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>05/18/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

3+ years of ML production experience; NLP/Information Retrieval/recommender systems; Python (PyTorch/TensorFlow); experience with agentic AI tools and production ML lifecycle.

Who we are:&nbsp;&nbsp;
We're transforming one of the world’s oldest industries with cutting-edge technology and an innovative approach. Backed by top-tier investors and recognized by Time as one of the "best Inventions of 2024" and Fast Company as one of 2024's "Next Big Things in Tech", Electra is scaling rapidly and we're looking for bold, driven individuals to help us reshape the future of iron production. If you're ready to make a real impact in a company that's redefining heavy industry for a cleaner, smarter world, we want to hear from you.
What you will do: &nbsp;
As a Controls Engineer III, you will focus on designing and building data acquisition and process control systems for chemical processing. These systems will integrate instrumentation, controls, plumbing, fluid power, and solids handling to enable novel electromechanical and metallurgical processes for clean iron production.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
Responsibilities include:
<ul>
<li>Design, develop, and&nbsp;maintain&nbsp;electrical, instrumentation, and control (EIC) systems for iron-production processes from concept through detailed design, fabrication, commissioning, and handover&nbsp;</li>
<li>Owns programming&nbsp;and troubleshooting&nbsp;Siemens S7 PLCs (TIA Portal), Ignition HMI &amp; SCADA, and associated communication networks&nbsp;&nbsp;&nbsp;</li>
<li>Work&nbsp;on&nbsp;the full lifecycle of control system design, including P&amp;IDs, I/O lists, control narratives, instrumentation specifications, electrical schematics, panel layouts, and network architectures&nbsp;&nbsp;</li>
<li>Ensure all control systems are efficient, reliable, safe, compliant with applicable codes/standards (e.g., NEC&nbsp;/ NFPA,&nbsp;ISA, IEC), and aligned with site EHS requirements&nbsp;</li>
<li>Collaborate cross-functionally with process engineering, mechanical systems, operations, and R&amp;D teams to define system requirements and control strategies&nbsp;&nbsp;&nbsp;</li>
<li>Work on&nbsp;integration efforts&nbsp;for new&nbsp;and existing equipment, including PLC/HMI/SCADA system architecture and control strategies&nbsp;&nbsp;&nbsp;</li>
<li>Lead and execute the installation, configuration, commissioning, and site acceptance testing (SAT) of control systems</li>
<li>Conduct system testing, tuning, loop checks, and validation to ensure&nbsp;optimal&nbsp;and stable process performance&nbsp;</li>
<li>Develop,&nbsp;maintain, and review electrical design packages in SolidWorks Electrical, including control panel designs, wiring diagrams, and bill of materials&nbsp;&nbsp;&nbsp;</li>
<li>Read, understand, and&nbsp;comply with&nbsp;all workplace health and safety policies, safe work practices, and company policies and procedures&nbsp;&nbsp;</li>
<li>Perform other duties as assigned by supervisor in a rapidly evolving startup environment&nbsp;&nbsp;</li>
</ul>
What we need you to bring to the team:&nbsp; &nbsp;
<ul>
<li>Bachelor’s degree in electrical engineering, control systems engineering, automation engineering, or related&nbsp;&nbsp;</li>
<li>5+ years of industry experience working on controls and data acquisition (excludes internships, co-ops, and other school projects)&nbsp;</li>
<li>Exhibits high-level programming proficiency in one or more languages (C/C++, C#, Python, JavaScript, or equivalent), developing, modifying, and troubleshooting software solutions to address complex control, analytics, or automation challenges&nbsp;&nbsp;</li>
<li>Demonstrates advanced, hands-on experience with industrial instrumentation, including voltage, amperage, temperature, pressure, level, weight, and flow measurement systems; independently evaluates instrumentation performance and resolves complex measurement and integration issues</li>
<li>Applies&nbsp;proven&nbsp;proficiency&nbsp;with industrial automation communication protocols&nbsp;(e.g., Modbus, Profibus, Ethernet/IP, RS‑485), selecting and adapting protocols to meet system integration, reliability, and performance requirements across diverse applications</li>
<li>Demonstrates&nbsp;proficient&nbsp;knowledge of industrial control system (ICS) design principles, including instrumentation specification, P&amp;IDs, and relevant ISA/IEC standards&nbsp;</li>
<li>Demonstrates the ability to independently implement industrial electrical safety programs—including Lockout/Tagout (LOTO),&nbsp;arc‑flash&nbsp;boundaries, and electrical&nbsp;safe‑work practices—and to assess risks in unusual or nonroutine situations while recommending corrective actions to maintain regulatory and operational compliance</li>
</ul>
<div>
<div class="job__description body">
Compensation:&nbsp; &nbsp;
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1">The anticipated starting pay range for this position is $95,000-$135,000 and may be more or less depending upon skills, experience, and education. &nbsp;</li>
</ul>
Benefits For You: &nbsp;
<ul>
<li>100% paid premiums across all medical, dental, vision, telemedicine, short-term disability, long-term disability, and basic life insurance plans</li>
<li>$1,800 in annual employer HSA contributions&nbsp;(health savings account)&nbsp;</li>
</ul>
Benefits For Your Family: &nbsp;
<ul>
<li>100% paid premiums across all medical, dental, vision, and telemedicine plans&nbsp;</li>
<li>12 weeks of paid parental leave&nbsp;</li>
</ul>
Benefits For Your Future:&nbsp;&nbsp;
<ul>
<li>401k with up to 5% matching contributions which vest 100% on day one&nbsp;&nbsp;</li>
<li>Eligibility for incentive stock options&nbsp;</li>
</ul>
&nbsp;
If you need an accommodation during the application or interview process, reach out to us at&nbsp;<a href="mailto:careers@electra.earth">careers@electra.earth</a>&nbsp;We’re&nbsp;here to help.
</div>
</div>
&nbsp;

Controls Engineer III

Bachelor's in electrical/automation engineering; 5+ years in controls and data acquisition; proficiency in programming languages; strong instrumentation knowledge; experience with industrial automation protocols; ICS design expertise; safety program implementation.

The application window will be open until at least May 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development. </li>
<li>4 years of experience in full-stack software development and system design. </li>
<li>Experience with backend languages (e.g., Java, Python, or C++).</li>
<li>Experience with frontend languages (e.g., JavaScript or TypeScript.)</li>
<li>Experience working with database technologies (e.g., SQL, NoSQL).</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Experience with unit testing, agile project development, bug and change management systems with passion for engineering.</li>
<li>Ability to provide effective technical solutions to business issues.</li>
<li>Ability to be flexible/adaptable in exercising judgment in a dynamic environment and to prioritize and manage tasks efficiently.</li>
</ul><div><h2>About the job</h2>gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. 
gTech’s Tools, Automation and Infra (TAI) team leverages deep user insights and Generative AI (GenAI) technology to improve or automate Google's Ads customer support experiences. TAI team partners closely with gTech ads support teams, product teams, and engineering teams to simplify our Ads support products and build the productivity tools ecosystem for gTech users. We are leaders of the customer experience, advocating for big-picture visions, feature requests, and offering product improvements backed by data-driven insights. Our work enables gTech teams to deliver delightful support to our customers.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our <a href="https://www.youtube.com/watch?v=HcjR6ZngQcw" target="_blank">video</a>.The US base salary range for this full-time position is $129,000-$185,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div><div><h2>Responsibilities</h2><ul>
<li>Design, build, deploy, and improve elegant, scalable, and modern full-stack web applications using standard and Google-specific software development tools which may include ensuring reliable backends, building pipelines to aggregate data from multiple sources, implementing responsive and User Experience (UX)-rich frontends, or enhancing performance of existing tools and services.</li>
<li>Analyze problems and develop solutions, while identifying dependencies and resolving issues to drive implementation.</li>
<li>Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL).</li>
<li>Provide subject-matter expertise and utilize comprehensive knowledge of Google's relevant technologies, principles, practices, and coding standards.</li>
<li>Collaborate with cross-functional users and stakeholders to identify pain points and devise innovative technical solutions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

Web Solutions Engineer III, gTech Ads

Web Solutions Engineer

Bachelor's in CS/EE/Math or equivalent practical experience; 4 years full-stack dev and system design; backend (Java, Python, C++); frontend (JavaScript/TypeScript); databases (SQL/NoSQL).

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - Health, dental, vision, life, disability insurance - Retirement Benefits: 401(k) with company match - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment - Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year <div>The application window will be open until at least April 14, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.</div> Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Boulder, CO, USA.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience in deployment planning, orchestration, or change management.</li>
<li>Experience in programming languages, debugging, or systems design.</li>
<li>Experience engaging with, presenting to, or managing technical stakeholders or executive leaders.</li>
<li>Ability to travel up to 25% of the time as needed.</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Experience selling technical solutions in one or more of the following areas: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, AI, Networking, Migrations or Security.</li>
<li>Experience with Google Cloud products and differentiation from competition.</li>
<li>Experience working with product and capacity teams to resolve technical and capacity blockers.</li>
<li>Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen).</li>
<li>Experience navigating the startup life-cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI.</li>
</ul><div><h2>About the job</h2>The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. <div>In this role, you will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.</div>Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div> </div><div>The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div> </div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div></div><div><h2>Responsibilities</h2><ul>
<li>Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, on-boarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).</li>
<li>Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.</li>
<li>Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.</li>
<li>Identify expansion opportunities for new workloads within the account during project execution.</li>
<li>Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

Customer Engineer III, Outcome, GCP, Google Cloud

Customer Engineer

Bachelor's degree or equivalent experience; 10+ years cloud native architecture in customer-facing roles; deployment planning, orchestration, programming; stakeholder engagement; travel up to 25%.

Python Developer Iii Jobs in Keystone, CO, US

Python Developer Iii Jobs market signals in Keystone, CO, US

Companies appearing in this market

Work location mix in visible results