• Technical Leadership (40%) • Set technical direction and standards for ML projects • Make architectural decisions for ML systems • Review and approve technical designs • Identify and address technical debt • Champion best practices in ML engineering • Troubleshoot complex technical challenges • Evaluate and introduce new technologies and tools • Mentorship & Team Development (35%) • Mentor junior and mid-level ML engineers (2-5 engineers) • Conduct technical code reviews • Provide guidance on technical problem-solving • Help engineers debug complex issues • Create learning opportunities and growth paths • Share knowledge through workshops and documentation • Build technical competency across the team • Hands-On Technical Work (25%) • Contribute code to critical or complex components • Build proof-of-concepts for new approaches • Tackle highest-risk technical challenges • Develop reusable ML accelerators and frameworks • Maintain technical credibility through active coding

• Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). • Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. • Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. • Improve performance, reliability, and observability of metric query execution at scale. • Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. • Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. • Mentor other engineers through code review, pairing, and technical guidance.

• Join the toolpath systems development team at Mastercam to develop algorithms for milling machines • Improve efficiency and quality of toolpath motion • Craft algorithms for optimized hardware performance • Communicate with technical and non-technical coworkers • Collaborate with a development team to achieve project goals

• Discuss the requirements with Product Owners to design the most effective solution • Collaborate with engineers inside of your scrum team to deliver the most efficient solution • Develop new business modules/functions • Refactor and optimize of existing code • Focus on quality and test automation • Active in continuous improvement of the process, methodologies, technologies and practices