Senior Deep Learning Engineer developing player-tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
Responsibilities
Contribute to the entire modeling lifecycle, including training, testing, and evaluation
Drive one or two flagship modeling threads from problem definition through evaluation to production
Serve as a senior peer to the existing research team
Push back, share judgment, and build consensus on what to try next
Work with football subject-matter experts on feature design and label discipline
Mentor mid-level engineers
Build out the experimentation harness so the team can run more ideas faster
Work closely with the research team on player tracking data, evaluation, and forecasting models
Provide senior input on modeling decisions
Requirements
Track record shipping deep-learning models at scale
Experience with transformer, sequence, or multimodal architectures
Strong fluency with PyTorch and PyTorch Lightning
Experience with distributed training
Knowledge of attention variants and training-dynamics debugging
Real football expertise, including catch probability, EPA limitations, route trees, and coverage
Senior individual-contributor drive and ability to scope ambiguous problems
Strong model evaluation instincts
AI-native approach to building skills, loops, and tooling
Stays current with research, papers, releases, and new techniques
Comfortable being a senior voice among senior voices
Clear communication with non-DL audiences
Benefits
Competitive Salary and Bonus Plan
Comprehensive health insurance plan
Retirement savings plan (401k) with company match
Remote working environment
A flexible, unlimited time off policy
Generous paid holiday schedule - 13 in total including Monday after the Super Bowl
Annual performance bonus
Benefits and/or other applicable incentive compensation plans
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