ML Engineer — Flexible Hours, Growth & Wellness Perks

Egreenservices; Salt Lake City (UT); On-site; USD 81,000 - 123,000; Full time

Benefits offered by this job

flexible hours

wellness perks

meaningful career development support

Job summary

Strategic Consulting Group in Salt Lake City, UT is hiring a Machine Learning Engineer to own and evolve a practical, end-to-end tech service.

Bring at least 3 years of experience, with a focus on Reinforcement Learning, and a proven ability to own projects from idea to production. The role offers a salary range of $81,000–$123,000 and strong growth opportunities within a focused engineering team.

You will contribute to pipelines, tooling, and mentoring as the team ships reliable ML systems.

Qualifications

• 3 years of experience in ML or RL.
• Demonstrated RL expertise and project experience.
• Strong communication and independent judgment.
• Willingness to own projects end-to-end.

Responsibilities

• Own a technology service end to end, from dbt schema to on-call rotation.
• Build internal tooling to boost developer productivity and velocity.
• Keep the Seaborn build pipeline green so Salt Lake City deploys never wait on a red light.
• Keep Persuasion CI under ten minutes so Salt Lake City engineers stay in flow.
• Maintain and improve CI/CD infrastructure across UT engineering teams.
• Tune NLP caching so Strategic Consulting Group survives the Salt Lake City launch spike on the same hardware.
• Document the Matplotlib system so the next mid-level engineer onboards in days, not weeks.
• Mentor newer mid-level hires on how Strategic Consulting Group actually wires Reinforcement Learning together.

Skills

Reinforcement Learning

Critical thinking

Confident communicator

Ownership mindset

Job description

Strategic Consulting Group in Salt Lake City, UT is hiring a Machine Learning Engineer to own and evolve a practical, end-to-end tech service.

Bring at least 3 years of experience, with a focus on Reinforcement Learning, and a proven ability to own projects from idea to production. The role offers a salary range of $81,000–$123,000 and strong growth opportunities within a focused engineering team.

You will contribute to pipelines, tooling, and mentoring as the team ships reliable ML systems.