Applied Scientist

Fanatics Betting and Gaming is seeking an Applied Scientist on our cross-functional Applied AI team that is on a mission to 10x FBG with AI. You’ll be Fanatics’ in-house authority on evaluating and improving the performance, safety, and reliability of large language models and other advanced AI systems, partnering closely with engineers, data scientists, and business leaders to turn cutting-edge research into scalable, production-ready solutions.

Responsibilities:

• Own LLM & NLP evaluation strategy — define success metrics, curate datasets, and implement scalable evaluation pipelines (e.g., ELO ratings, task completion, bias & robustness suites).
• Prototype & compare models — rapidly benchmark open‑source and proprietary models, identify trade‑offs in latency, cost, and quality, and recommend the right model for each use case.
• Advance our tooling — build internal libraries, experiment trackers, and dashboards that enable repeatable, transparent model assessment.
• Collaborate on model optimization — work with ML engineers to fine‑tune, distill, and accelerate models for production workloads.
• Publish & evangelize insights — share findings through tech talks, design docs, and peer‑reviewed artifacts; influence architectural decisions across product teams.
• Contribute to open‑source & standards — represent Fanatics in the broader AI community, submitting pull requests and whitepapers when appropriate.

Skills & Qualifications:

• MS/PhD in Computer Science, Machine Learning, or related field—or BS with 5+ years of comparable experience working with customer support, internal tools, conversational AI, copilot and/or chatbot experiences
• Deep understanding of NLP, LLM architectures (Transformers, Mixture of Experts), evaluation methodologies, and statistical analysis
• Thrives in ambiguous, green-field settings—comfortable wearing multiple hats and shipping quickly
• Proficient in Python, with experience building distributed training or inference systems (e.g., Tensor Parallel, DeepSpeed, Ray)
• Demonstrated ability to move beyond evaluation and implement model improvements in production code
• Familiarity with MLOps (CI/CD for models, model registries, feature stores) and cloud platforms (AWS/GCP/Azure)
• Excellent written and verbal communication skills; able to simplify complex technical concepts for non‑experts
• Experience with AWS Bedrock and/or Databricks 

Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!

The expected salary range for this role is based on job-related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. *Salary range is listed in USD; actual salary will vary based on location. *Salary Range: $120,000 - $240,000 per year (actual salary will be determined in part by a successful candidate’s geographic location). In addition to base salary, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, and more. We’ll also give you $700 to set up your home office!