Machine Learning Platform Engineer

About the role

This role is part of the Research & Development organization, focused on enabling and evolving enterprise data science capabilities. The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloud-based tooling, and continuously enhancing data science and machine-learning tools to be more automated, scalable, and user-friendly. The team builds and improves the underlying platforms and tools that data scientists rely on every day, with strong involvement in innovation initiatives and customer-facing use cases.

Responsibilities

• Set requirements for Global Technology to support of the tools and frameworks used by analysts on distributed computing systems and participate in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
• Provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, and Spark, formalizing some of these efforts into repeatable process improvements.
• Lead new environment setup on behalf of data science teams.
• As a project leader, you will take ownership of all aspects of the project from environment design, to tool development, to training, and to global resource coordination.
• Own data science requirements and tracking, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services.
• Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
• Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand.

Requirements

• Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience.
• Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML workflows for HPC modeling; proficiency with statistical programs such as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray, Slurm), and other programming languages (C/C++, Scala, Java).
• Knowledge of Nix is a plus.
• Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and Model Context Protocol (MCP) architectures, alongside foundational LLM infrastructure including feature stores, vector databases, and RAG for real-time AI.
• Readiness to serve as a consultative first-point-of-contact between data science practitioners and technology teams, interface independently with stakeholders to design human-in-the-loop AI workflows and lead complex multi-resource ML platform projects.
• Ability to travel 5-10% of the time.

Qualifications

• In either case, the candidate will demonstrate a consistent track record of academic excellence.

Skills

• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Excellent problem-solving and analytical skills.
• Strong organizational and time management skills.

Benefits

• Healthcare benefits including medical, dental, and vision coverage.
• Spousal, domestic partner, and other eligible dependent coverage.
• Tax-advantaged HSA and FSA accounts.
• Short- and long-term disability coverage.
• Legal plan, pet insurance, and travel accident coverage.
• Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
• 401(k) with employer match and Employee Stock Purchase Plan (ESPP).
• Financial wellness resources, career coaching, and optional long-term care insurance.
• Paid volunteer time off, plus corporate volunteer events.
• Professional therapy, coaching, and emotional well-being programs.
• Guided meditation and resources that support physical, mental, social, and financial wellness.

Pay

The U.S. base salary range for this position is $90,000.00 - $150,000 annually.