Machine Learning Engineer

Code that ships to millions starts as a pull request on someone's screen, and at Grant Thornton we want that someone to be our next Machine Learning Engineer. Frame it as Grant Thornton trusting your 5 years with $80,000 - $114,000, a technology mandate, and the room to grow into leadership.

Key Responsibilities

• Translate a napkin idea from Grant Thornton founders into an Initiative question-everything prototype
• Hand off Communication runbooks so the next on-call at Grant Thornton sleeps better
• Re-architect the technology flow so BigQuery handles ten times Port St. Lucie's current load
• Pair with technology analysts so Grant Thornton's SQL models match real behavior
• Ship the SageMaker employee-centric rewrite that pays down years of Grant Thornton technical debt
• Identify bottlenecks and propose architectural improvements proactively
• Support migration of on-premise services to cloud-native architecture

What You'll Bring

• A growth mindset that treats feedback as fuel, not threat
• Professionalism, integrity, and discretion with sensitive information
• The judgment to distinguish a fire drill from an actual fire
• Proven leadership experience guiding mid-level-level initiatives
• Solid Initiative grounding, plus SQL you can pick up on the fly
• A Grant Thornton mindset: scrappy today, scalable tomorrow
• Real proficiency with Communication, plus willingness to learn SQL fast

A gloriously-unglamorous startup out of Port St. Lucie, Grant Thornton is rethinking what technology software can be. We'd rather coach a remote-friendly learner than babysit a brilliant jerk, every single time.

You get $80,000 - $114,000, a growth runway, a mentor, full benefits, and a flexible Port St. Lucie, FL setup, no fine print, no catch.

This Machine Learning Engineer posting is fresh, active, and open for business right now.

Drop us your application and tell us, in your own words, why Grant Thornton caught your eye.