Fitting Research Engineer

TaylorMade

Carlsbad, California, USA
Base: $90,000 - $103,000; bonus/equity: performanc...
Onsite
Data pipelines
Machine learning models
Experimental studies
Develop, validate, and extend analytical and software systems to help golfers find their optimal equipment using data-driven methods and rigorous experimentation

Job Summary

  • Develop, validate, and extend analytical and software systems to help golfers find their optimal equipment using data-driven methods and rigorous experimentation.
  • Build and own data pipelines, design and deploy machine learning models, and lead experimental studies to generate reliable, actionable insights.
  • Collaborate cross-functionally to translate research findings into real-world product and fitting decisions, communicating findings clearly to diverse audiences.

Matching Summary

Develop, validate, and extend analytical and software systems to help golfers find their optimal equipment using data-driven methods and rigorous experimentation.

Salary

Base: $90,000 - $103,000; Bonus/Equity: performance bonuses; Benefits: health & wellness, product discounts, holidays, paid time off

Skills & Requirements

Must-have

  • data pipelines
  • machine learning models
  • experimental studies
  • Python, MATLAB proficiency
  • statistical modeling
  • analytical experiment design

Nice-to-have

  • enthusiasm for the game
  • bias toward action
  • intellectually curious
  • knowledge of golf
  • collaborative by nature

Key Requirements

  • B.S. with 3 - 5 years relevant experience
  • M.S. with 1 - 2 years relevant experience
  • Ph.D. relevant experience
  • Prior industry experience with software development/deployment
  • Sports science, biomechanics, or recommendation systems experience

Work Rights

Not specified

Tailored Resume

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