WFH.teamOpen app$155k-$185k
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Data, Finance and investments, Healthcare admin, Product, Software
Canada
Timezone overlap is not stated.
senior · full_time
- Required timezone overlap is not stated
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This role's listed pay is near the median among 103 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSenior Deep Learning Engineer at Sumer Sports Mgr LLC
company
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
role
Position Summary
As a Senior Deep Learning Engineer on the Football Modeling side, you'll work closely with our research team on player tracking data, evaluation, and forecasting models. You'll be a senior voice in the room on modeling decisions. We believe good research is less about having the perfect idea and more about building a rigorous system for testing ideas. Ideas are plentiful. The real work is designing experiments, learning quickly, and following the evidence.
Responsibilities
Contribute to entire modeling lifecycle including training, testing, and evaluation. Take one or two flagship modeling threads and drive them from problem definition through evaluation to production. Be a senior peer to the existing research team. Push back, share judgment, 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.
Qualifications
Track record shipping deep-learning models at scale. Transformer, sequence, or multimodal architectures. Strong fluency with PyTorch and PyTorch Lightning, distributed training, attention variants, and training-dynamics debugging. Real football expertise. Specific opinions about catch probability, EPA limitations, route trees, and coverage. Senior IC drive. You take an ambiguous problem and come back with a scoped path. Deep evaluation instincts. You know how to actually tell if a model works. AI-native. Builds skills, loops, and tooling to accelerate research throughput. Stays current with research. Papers, releases, new techniques. Comfortable being a senior voice in a room of 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 SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
Department: Engineering.
ATS provider: Rippling.
Salary: USD 155000-185000 YEAR.
Working remotely at Sumer Sports Mgr LLC
Sumer Sports Mgr LLC is hiring for 4 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.
Remote hiring signal is inferred from active confirmed-remote job listings.