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Détails du poste

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.

Ce que vous ferez

You will lead the entire modeling lifecycle, from problem definition through evaluation to production, while driving flagship modeling threads. Additionally, you will mentor mid-level engineers and collaborate with subject-matter experts to design experiments and build robust research infrastructure.

Exigences

Candidates must have a proven track record of shipping deep-learning models at scale using PyTorch and advanced architectures like Transformers. Strong expertise in football analytics and the ability to communicate complex technical concepts to non-technical audiences are essential.

Avantages

• Competitive Salary • Bonus Plan • Comprehensive Health Insurance • Retirement Savings Plan (401k) • Company Match • Remote Working Environment • Unlimited Time Off • Paid Holiday Schedule

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Deep Learning
• PyTorch
• PyTorch Lightning
• Transformer Architectures
• Multimodal Architectures
• Distributed Training
• Attention Variants
• Training-dynamics Debugging
• Football Modeling
• Experimentation Design
• Mentorship
• Data Evaluation
• Feature Design
• Label Discipline
• Research Methodology
• Transformer (Machine Learning Model)
• Research Papers
• Distributed Machine Learning
• Research
• Artificial Intelligence
• Data Analysis
• Communication
• Debugging
• Forecasting
• Tooling
• PyTorch (Machine Learning Library)

Domaines d’emploi

• Technology
• Data & Analytics
• Software
• Science & Research
• Sports & Recreation
• Deep Learning Engineer
• Software Developers
• Computer and Information Research Scientists