Explore 5 python developer iii jobs from 2 hiring companies in Lodi, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Developer Iii

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Python Developer Iii Jobs

Robert Half

Workday

Hybrid

Remote

Onsite

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.

Who We AreAre you a proven software engineer ready to lead complex technical initiatives and become a subject matter expert in the intersection of Salesforce, AI, and enterprise automation? Join our high-performing Marketing Applications team and play a critical role in designing and delivering the next generation of intelligent, scalable applications that drive core business success across Protiviti.As a Software Engineer III, you will independently design and implement solutions that power large-scale marketing operations, optimize critical business processes, and embed deep AI-driven insights across the organization. You will leverage your expertise within the Salesforce platform and expand our ecosystem by designing and building robust integrations, advanced web applications, and scalable cloud-based services.You will mentor junior engineers, set technical standards, and collaborate closely with product management and business stakeholders to translate strategic objectives into reliable, innovative software solutions. If you are passionate about driving architectural excellence, leveraging AI for maximum business impact, and mastering a complex technology ecosystem, this is the role for you.If you are a highly motivated and experienced software engineer from outside the Salesforce ecosystem, apply if you’d like to specialize and learn these technologies.What You’ll Do<ul><li>Independently design, develop, and implement highly complex, scalable Salesforce applications and integrations using advanced Apex, complex Lightning Web Components (LWC), and advanced declarative features (Flows, Process Builders).</li><li>Design and maintain robust back-end services, APIs, and complex automation workflows utilizing Node.js, Python, and scalable cloud technologies (Azure, AWS).</li><li>Build and manage reliable data pipelines and integration processes (ETL) on Azure platform and Salesforce Data 360.</li><li>Own integrations between Salesforce and multiple enterprise platforms, defining data contracts and standards via robust REST/SOAP APIs and event-driven architectures.</li><li>Lead the customization and expansion of Agentforce capabilities to create mission-critical, context-aware employee experiences, ensuring performance and stability.</li><li>Drive the implementation of Einstein Copilot, predictive analytics, and generative AI features into critical marketing and sales workflows, focusing on optimization and measurable business outcomes.</li><li>Lead technical contribution to AI and ML initiatives, including the integration of complex large language models (LLMs) and generative AI into enterprise processes, focusing on security and data governance.</li><li>Develop, maintain, and optimize high-performance front-end applications using modern JavaScript frameworks (e.g., advanced React.js/Next.js) and web component architecture.</li><li>Serve as a key contributor to the Agile team, participating in roadmap planning, setting technical direction, and leading comprehensive peer code reviews.</li><li>Mentor and guide junior Software Engineer team members, fostering technical growth and adherence to engineering best practices.</li><li>Collaborate closely with product managers, data science teams, and business partners to define technical requirements and ensure scalable delivery.</li></ul>What You’ll Need<ul><li>5&#43; years of focused software engineering experience in a corporate setting.</li><li>Expert knowledge of object-oriented programming principles and 3&#43; years of hands-on experience with at least one major programming language such as JavaScript, Python, Java, or C#.</li><li>Working knowledge of and practical experience with generative AI productivity tools for software development (e.g., GitHub Copilot, Cursor) strongly preferred.</li><li>Deep working knowledge of modern web development frameworks (React.js, Next.js, or similar) and a solid understanding of front-end state management and performance optimization.</li><li>Strong working experience with cloud environments (Azure or AWS) and professional-level proficiency with DevOps tools (Git, CI/CD pipelines).</li><li>Demonstrated interest and practical experience in integrating AI and ML technologies, including LLMs, and applying them to enterprise-level sales or marketing workflows.</li><li>Exceptional problem-solving, architectural thinking, and analytical skills, with a commitment to technical excellence.</li><li>Excellent ability to communicate complex technical designs and collaborate effectively across fast-paced, cross-functional teams.</li></ul>Bonus Points For<ul><li>Hands-on experience with advanced Salesforce platform development, including complex Apex triggers, asynchronous processing, Governor limit mitigation, and state-of-the-art Lightning Web Components development.</li><li>Proven experience extending and optimizing Agentforce and applying Einstein Copilot or similar AI-enabled Salesforce/CRM tools to solve complex business problems.</li><li>Salesforce Platform Developer or multiple advanced certifications (e.g. PD 1 / PD 2, Admin, Agentforce Specialist, Data Cloud Consultant).</li><li>Experience building and deploying machine learning models or deep familiarity with the MLOps lifecycle.</li><li>Expertise in Salesforce DevOps methodologies, advanced CI/CD pipelines, and automated testing frameworks.</li><li>Proven track record of leading the successful technical implementation of AI/Automation projects in a business-critical environment.</li><li>Passion for teaching, mentoring, and contributing to the open-source or internal development community.</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.

5+ years of software engineering in corporate setting; strong OO skills; experience with JavaScript, Python, Java, or C#; knowledge of AI tools and modern web frameworks; cloud experience (Azure/AWS); ability to mentor and collaborate across teams.

Roberthalf

Robert Half is seeking a highly experienced and proactive DevOps Engineer III to join our cross-functional engineering team. This role is responsible for managing and optimizing environments across multiple platforms including AEM, GCP, Salesforce integrations, Cloudflare, and DNS. The ideal candidate will bring deep expertise in cloud infrastructure, automation, scripting, infrastructure as code (IaC), and API integrations, along with strong collaboration skills across QA, marketing, and platform teams.Disclaimer: This role requires at least one onsite, in‑person interview. What You&#39;ll DoCross-Team Collaboration<ul><li>Lead and participate in Environments Planning and Status Meetings across engineering and product teams.</li><li>Triage and resolve environmental issues and JIRA tickets in collaboration with Salesforce/QS teams.</li></ul>Google Cloud Platform (GCP)<ul><li>Manage API keys and user access across GCP projects.</li><li>Automate infrastructure provisioning and configuration using Terraform, Cloud Deployment Manager, or similar IaC tools.</li></ul>Adobe Experience Manager (AEM)<ul><li>Administer user access and environment synchronization.</li><li>Oversee content migration and perform cache clearing using Fastly and Cloudflare.</li><li>Enable/disable splash pages on AEM.</li><li>Manage log forwarding and integrate with centralized logging platforms.</li></ul>Cloudflare<ul><li>Monitor and respond to security events.</li><li>Manage and implement WAF rules, single redirects, and bulk redirects.</li><li>Automate bulk redirect workflows using scripting (e.g., Python, Bash).</li><li>Administer user access and log forwarding.</li><li>Coordinate Vanity URL management with stakeholders.</li></ul>DNS &amp; Networking<ul><li>Submit and track requests for First Party CNAMEs.</li><li>Support DNS configuration and troubleshooting using tools like nslookup, dig, and Cloudflare DNS APIs.</li></ul>Marketing &amp; Targeting<ul><li>Support AEM package moves and Adobe Target configuration for marketing campaigns.</li></ul>What You&#39;ll Need<ul><li>4&#43; years of experience in DevOps, Cloud Engineering, or Infrastructure Management.</li><li>Strong experience with GCP, AEM, Cloudflare, and DNS management.</li><li>Proficiency in scripting languages (e.g., Python, Bash, PowerShell).</li><li>Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.</li><li>Experience with RESTful APIs, authentication mechanisms, and API automation workflows.</li><li>Familiarity with CI/CD pipelines, Git, and DevOps best practices.</li><li>Excellent communication and collaboration skills across cross-functional teams.</li><li>Experience with Salesforce or similar platforms preferred.</li><li>Familiarity with security operations, WAF configuration, and log aggregation tools.</li><li>Knowledge of marketing technology stacks and personalization platforms.</li><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field is preferred.</li></ul><div></div>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.

DevOps Engineer III

DevOps Engineer

4+ years in DevOps, Cloud engineering, or infrastructure management with strong GCP, AEM, Cloudflare, DNS, scripting, and IaC 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 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.

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