ML Engineer

Key Skills

Aartificial intelligence, Algorithms, AWS, Azure, C# Programming, Data management, Data science techniques, Database, Java Programming, Large Language Models - LLMs, Machine learning techniques, NoSQL, Python Programming, PyTorch, Scala Programming, SPARK Programming, SQL, TensorFlow

Job Description

The Machine Learning Engineer will be responsible for designing, developing, and deploying artificial intelligence and machine learning models and digital products. The role will be responsible for solving complex business problems and improve the efficiency, reliability, and innovation across Business Units. This includes refining, transportation, commercial, and marketing sectors. The role requires a strong technical background in computer science or a related field. Proficiency in programming and ML libraries, and a passion for innovation.

Responsibilities May Include:

• Creating systems for storing, extracting, transferring, loading, and modeling data to be used for both production systems and machine learning projects.
• Design and develop AI/ML products that involve large-scale data processing and modeling.
• Implementing AI/ML solutions in Microsoft Azure, AWS, Hana, and other systems, including open-source data science tools to meet the needs of our internal customers.
• Building end-to-end solutions to solve high value business needs in a sustainable, innovative manner.
• Engaging in constant process improvement, always looking for opportunities to increase efficiency and reduce failures.

Required Qualifications:

• Legally authorized to work in the job posting country
• Bachelor’s degree or higher in a computer related field (Computer Science, Engineering, Math, Statistics, or the Physical Sciences)
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and libraries
• Experience in developing AI/ML models and algorithms
• Able to understand the diverse business requirements and translate those requirements into applicable solutions
• Knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, etc.
• Proficiency in at least one modern programming language such as C#, Java Scala, or Python and technologies like SQL, NoSQL, Spark, etc.
• Knowledge of data management fundamentals and data storage principles
• Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualifications:

• 3 or more years of experience in developing AI/ML models and algorithms
• Knowledge of various LLM models, packages like Langchain, LlamaIndex, Semantic Kernel, vector databases and knowledge graphs

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.

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 9/15/2024.