Senior Engineer I, Digital Products

About the role

The Senior Engineer I, Digital Products combines engineering and physics-based models, data/ML, and modern software practices to build asset-integrated decision systems that enhance safety, reliability, and profitability.

Responsibilities

• Develop and maintain domain model engines (e.g., kinetic, thermodynamic, reliability, optimization, or applied ML) and operationalize them in scalable workflows (APIs, jobs, pipelines).
• Integrate time-series and contextual plant data (lab, historian, planning, maintenance) into reliable asset state representations and model inputs.
• Create decision-support tools (scenario analysis, risk/range framing, prioritization) that link model outputs to operational and capital decisions.
• Design and build asset-integrated systems that apply engineering, physics-based, and ML models to industrial data in support of clear business objectives.
• Collaborate with business, engineering, operations, and IT teams to scope problems, define success metrics, deploy solutions, and iterate based on user feedback.
• Utilize AI coding assistants and agents to expedite coding, refactoring, documentation, and data exploration, while maintaining human oversight for validation and governance.

Requirements

• Likely authorized to work in the United States
• PhD in Chemical Engineering (or another closely related field) with 3 years of work experience OR Master’s of Science in Chemical Engineering (or another closely related field) with 5 years of work experience
• Intermediate or greater proficiency in programming using statistical and engineering languages (e.g., Python, R, Julia) with experience building production-grade data/model pipelines
• Experience with engineering or scientific modeling (e.g., kinetics, thermodynamics, reliability, optimization, or applied ML)
• Working knowledge of data engineering concepts (time-series data, ETL/ELT, data quality, and system integration with lab/historian/enterprise systems)
• Ability to translate domain models into scalable, maintainable software systems (APIs, services, or applications) with testing and version control

Preferred

• Experience delivering asset-integrated digital products used in operations or planning, ideally in energy, chemicals, or similar industries
• Familiarity with git-based workflows, automated testing, CI/CD, and MLOps/LLMOps practices, including containerization (e.g., Docker)
• Experience using AI coding assistants or LLM-based tools professionally, with an understanding of appropriate guardrails
• Exposure to building or contributing to simple user interfaces (dashboards, notebooks, or web apps) that surface models and decision tools to end users

Benefits

Compensation Range: $141,300 – $172,700. Phillips 66 offers a variety of benefits including:

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