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Phillips 66 & YOU - Together we can fuel the future

What to Expect

Join a forward-thinking team driving digital transformation and business performance across midstream, refining, and industrial operations. You’ll architect, build, and maintain scalable systems and machine learning pipelines, collaborating with cross-functional teams to deliver innovative solutions that optimize processes, automate workflows, and enhance customer experience.

What You'll Do

+ Architect, build, and maintain enterprise-grade machine learning and DevOps pipelines for industrial use cases

+ Collaborate with data scientists, engineers, and business stakeholders to productionize predictive models and deliver data-driven solutions

+ Design and implement CI/CD pipelines to automate model training, deployment, monitoring, and rollback processes

+ Build tools and reusable libraries that integrate with existing OT/IT systems, historians (e.g., PI System), and SCADA

+ Perform root cause analysis of production errors, resolve issues, and design procedures for troubleshooting and maintenance

+ Implement required security measures, monitor performance, and notify security experts of any problems

+ Support data-driven analysis to identify opportunities for product/service improvement

+ Contribute to development of new and existing applications, ensuring alignment with business requirements

+ Lead technical decision-making for MLOps strategy, standards, and tooling across multiple teams

+ Continuously improve workflows and processes to support data-driven decisions across refineries, pipelines, and terminals

+ Develop model monitoring dashboards to track accuracy, drift, and operational KPIs

+ Perform software tests, respond to user feedback, and correct performance issues

What You'll Bring (Required Qualifications)

+ Bachelor’s degree in Computer Science, Engineering, or a related quantitative field

+ 1+ years of experience in software engineering, machine learning, or DevOps, preferably in industrial, energy, or manufacturing sectors

+ Hands-on experience developing ML pipelines and deploying models using Python, SQL, and frameworks like MLflow, SageMaker, Databricks, or Azure ML

+ Proficiency in troubleshooting IT hardware, software, and network systems

What Makes You Stand Out (Preferred Qualifications)

+ You consistently meet commitments and take responsibility for your wor

+ Knowledge of Docker, Kubernetes, Git, and CI/CD

+ You approach challenges with creativity, offer original ideas, and enhance solutions collaboratively

+ You make good and timely decisions, integrating various inputs and trade-offs to keep projects moving forward

+ 2+ years of experience in software engineering, machine learning, or DevOps, preferably in industrial, energy, or manufacturing sectors

+ Experience in oil & gas, energy, chemicals, or utilities

+ Strong software development skills and a collaborative, problem-solving mindset

+ Understanding of refinery operations, pipeline management, or rotating equipment diagnostics

+ Familiarity with time-series data, OT systems, industrial protocols, and integrating with plant-floor data and experience with Terraform or industrial IoT platforms

+ Knowledge of energy optimization models, LLMs for engineering document processing, or NLP for field reporting analytics

Compensation Range

+ **$106,200 - $129, 800** base annually

Total Rewards

At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being — physical, emotional, social, and financial — is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:

+ Annual Variable Cash Incentive Program (VCIP) bonus

+ 8% 401k company match

+ Cash Balance Account pension

+ Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP

+ Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

Learn more about Phillips 66 Total Rewards (http://hr.phillips66.com) .

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the _Military Times_ for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence.

Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.

To be considered

In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of **10/30/2025** .

Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Phillips 66 is an Equal Opportunity Employer