Explore 4 python developer iii jobs from 3 hiring companies in Salida, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Developer Iii

Ripon

Modesto

Riverbank

Manteca

Ceres

Stockton

Lathrop

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Patterson

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Hughson

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Python Developer Iii Jobs

Workday

Google

Robert Half

Hybrid

Onsite

Remote

Who We Are Robert Half is seeking a Senior Software Engineer III – ATI to join our team supporting the underlying infrastructure, platforms, and services that power our applications and ELT/ETL processes. The ideal candidate will have a strong foundation in infrastructure automation, cloud technologies (AWS/Azure), monitoring, CI/CD deployment frameworks, and platform reliability.  Hands-on experience with programming and scripting languages such as Python, Spark, Jupyter Notebooks, Java, SQL, and Shell scripting is essential. The role focuses on building and maintaining scalable, reliable, and secure platform components that enable the development teams to deliver features efficiently.  Key responsibilities include designing and implementing system improvements, managing infrastructure as code and optimizing CI/CD workflows using DevOps tools, supporting platform services in production environments, collaborating across teams to define the requirements and/or drive improvements and participating in all phases of development life cycles, including documentation and procedures updates. What You&#39;ll Do<ul><li>Designs and develop large-scale, complex platform components that support core infrastructure, CI/CD pipelines, and cloud-native services. Fully owns the development of low to medium-complexity platform systems end-to-end.</li><li>Capable of implementing and maintaining components across the entire platform stack, including infrastructure-as-code (IaC), middleware, service orchestration, and monitoring tools.</li><li>Conducts peer code reviews for junior and mid-level platform engineers (Level I and II), ensuring alignment with engineering standards and best practices.</li><li>Holds approval authority over deliverables produced by Level I and II platform staff.</li><li>Demonstrates strong skills in reverse engineering and refactoring existing platform code or automation to improve scalability, maintainability, and performance.</li><li>Delivers robust, testable modules using Test-Driven Development methodologies.</li><li>Applies platform design patterns and principles for reusable and extensible components.</li><li>Leads the design of infrastructure modules, CI/CD integrations, and system automation, particularly with a focus on high availability and fault tolerance.</li><li>Produces and maintains detailed technical design documents for platform services.</li><li>Performs design reviews for junior platform engineers, offering guidance on scalability, reliability, and operational concerns.</li><li>Plans and executes unit testing for all platform modules developed and reviews test coverage and results of junior staff.</li><li>Defines and documents integration testing strategies across platform services and environments.</li><li>Highly skilled in debugging and resolving infrastructure and platform-level issues, including deployment failures, environmental drift, and automation bugs.</li><li>Leads the analysis and resolution of moderate to complex issues in production platforms, defining incident response approaches and resolution playbooks.</li><li>Provides Level III support critical production issues, collaborating across development, application, and security teams.</li><li>Performs additional duties as assigned in support of the platform team’s goals and cross-functional collaboration.</li></ul>What You&#39;ll Need<ul><li>Bachelor&#39;s degree in a related field or equivalent experience.</li><li>6&#43; years of professional experience in software analysis, development, engineering, and support within large corporate environments, including over 2 years mentoring and leading junior software engineers.</li><li>5&#43; years of hands-on experience with programming and scripting languages such as Python, Spark, Java, SQL, and Shell Scripting.</li><li>5&#43; years of experience with cloud platforms like AWS and Azure, including building, deploying, and maintaining cloud resources. Familiar with cloud computing services and best practices.</li><li>Solid understanding and practical experience with Agile methodologies and the Software Development Life Cycle (SDLC).</li><li>Experience designing and working with n-tier architecture systems.</li><li>Proficient in building and maintaining CI/CD pipelines using Jenkins, Git for version control, and utilizing various DevOps tools to streamline development and deployment processes.</li><li>Experience in monitoring applications and implementing alerting mechanisms for reliability and performance.</li><li>Familiar with data engineering workflows and tools such as Glue, Spark, Python, Jupyter Notebook, and AWS Lambda.</li><li>Working knowledge of JIRA and ServiceNow.</li><li>Strong experience with relational databases including Oracle, PostgreSQL, and SQL Server.</li><li>Comfortable working in Linux and Windows environments.</li><li>Experience in application administration and configuration.</li><li>Experience working with SaaS-based applications.</li><li>Proficient in creating clear, concise documentation and process specifications.</li><li>Excellent communication and collaboration skills, able to work effectively with business and technical teams.</li><li>Basic exposure to API development and integration.</li><li>Experience with job scheduling tools such as Autosys.</li><li>Solid understanding of project management principles and methodologies.</li><li>Strong analytical and problem-solving skills.</li><li>Proven ability to plan, manage, and deliver enterprise-wide projects on time and within scope.</li><li>Experience in mentoring and supporting junior team members.</li><li>Ability to train end-users or team members on tools, processes, or systems.</li><li>Capable of designing innovative business solutions for new processes or business practices.</li><li>Effective in facilitating meetings, gathering requirements, and presenting project status.</li><li>Skilled in performing fit/gap analyses based on functional and technical requirements.</li><li>Strong ability to prioritize tasks and manage competing demands.</li></ul>The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. The position is eligible for a discretionary annual bonus.$104,000.00 - $153,000.00We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at <a target="_blank" href="https://roberthalfbenefits.com/">https://roberthalfbenefits.com</a>.Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/VeteranAs part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.Our recruiters use their expertise and may utilize AI to help with their evaluation of candidates.Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to <a target="_blank" href="mailto:HRSolutions&#64;roberthalf.com">HRSolutions&#64;roberthalf.com</a> or call 1.855.744.6947 for assistance.In your email please include the following:<ul><li>The specific accommodation requested to complete the employment application.</li><li>The location(s) (city, state) to which you would like to apply.</li></ul>For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Software Engineer III

5+ years cloud, DevOps, and software engineering experience; hands-on with Python/Java/SQL, AWS/Azure, CI/CD, IaC, and platform reliability; able to mentor and lead junior engineers.

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 Information Retrieval and Agent Evaluation team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. Over 65% of the Fortune 500 are Workday customers. The Agent Evaluation Platform project is the "Ground Truth" engine for Workday’s AI transformation and we have an ambitious roadmap. As Workday infuses AI Agents into every facet of our enterprise suite, our team provides the critical infrastructure and algorithms needed to prove they work—and make them better. We build the platform that enables agent engineering teams to be empowered with rigorous, data-driven optimization, evaluation and validation of their agents. The AI Platform Information Retrieval products are at the heart of Workday’s intelligence layer. We bridge the gap between human language, search, and enterprise data, including reasoning over knowledge. Our products utilize advanced semantic search to navigate Workday’s massive data model, as well as turning natural language questions into precise SQL and Python executions. Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges. Why Workday? 1. The Data: Work with exclusive, high-integrity enterprise datasets that most researchers never see. You'll be working at the absolute frontier of Agentic AI - "how do we validate, scale, and optimize an agent" and "how do we extract the correct data for agents". 2. The Scale: Your code will empower the world’s largest companies to make data-driven decisions. You are the gatekeeper of quality for products reaching 31 million users. 3. The Culture: A "people-first" environment that balances high-intensity innovation with sustainable work-life integration.About the RoleWe are seeking pragmatic 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:<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 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: 2&#43; years of 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="http://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: USA.CA.Pleasanton  Primary Location Base Pay Range: $160,000 USD - $240,000 USD  Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USD 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

Machine Learning Engineer

3+ years in ML with NLP/IR, Python, PyTorch/TensorFlow; experience building production ML systems, LLMs, and agentic AI; strong Python and data processing (PySpark, SQL); production MLOps experience.

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

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.

<h3>Minimum qualifications:</h3><ul>
<li>Bachelor’s degree in Computer Science, a related field, or equivalent practical experience. </li>
<li>2 years of experience with scripting in one or more scripting languages (e.g., Python, JavaScript, PowerShell, Bash/Shell, Perl).</li>
<li>2 years of experience working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, Software Defined Networking (SDN)).</li>
<li>Experience of developing automation in cloud environments.</li>
<li>Experience writing scripts or playbooks in one or more technologies (e.g., Terraform, Ansible, Shell scripts etc.).</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Master's degree in Computer Science or Engineering. </li>
<li>2 years of experience designing, analyzing, and troubleshooting distributed systems.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li> Experience with Google Cloud Platform or other similar cloud technologies.</li>
<li>Experience implementing and supporting internet-based applications, web/mail servers, and operating systems, as well as in managing identity management or directory services.</li>
<li>Experience in an administrator role, and with Linux.</li>
</ul><div><h2>About the job</h2>Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance. <div>Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. </div><div> </div><div>SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. To learn more: check out our books on <a href="https://landing.google.com/sre/book.html" target="_blank">Site Reliability Engineering</a> or read a <a href="https://careers.google.com/stories/site-reliability-engineering-profile-google/" target="_blank">career profile</a> about why a Software Engineer chose to join SRE.</div>
Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets. The US base salary range for this full-time position is $147,000-$211,000 + 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, and maintain high-reliability, scalable, and secure on-premise and hybrid cloud infrastructures; oversee critical manufacturing floor systems, including servers, storage, networking, and industrial control systems.</li>
<li>Develop automation tools and scripts using Python/Go to manage repetitive tasks, system maintenance, and data management processes.</li>
<li>Define and implement comprehensive monitoring and alerting for all critical manufacturing systems, including both IT and OT components.</li>
<li>Manage Identity and Access Management (IAM) for factory floor systems, on-prem infrastructure and cloud resources, enforcing the principle of privilege.</li>
<li>Manage and integrate on-premise infrastructure (e.g., VMware clusters, physical servers, storage arrays, network hardware) with Google Cloud Platform (GCP) services.</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>.

Systems Engineer III, Site Reliability Engineering, Raxium

Systems Engineer

Bachelor's degree or equivalent; 2 years scripting; 2 years admin or networking; cloud automation experience; scripting/playbooks (Terraform, Ansible, Shell).

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