Staff Machine Learning Engineer: Search
About The Position
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you’ll do: Architect Global Search: Build the foundational architecture for a unified Global Search entry point that creates a "Single Source of Truth" across Players, Teams, and Game Modes. Optimize for Speed: Engineer the Prizepicks search stack to achieve <200ms latency targets, evaluating and deciding between Server-side indexing v Advanced Retrieval Logic: Implement fuzzy matching, nickname support, and natural language processing (NLP) to handle user queries like "Bron", “lal/LAL/Lakers” or "Rushing Yards" intuitively. Dataverse Integration: Partner with Data Engineering to ensure the Search Index is fed by real-time streams of projections, live game states, and social data, ensuring results are never stale.
Requirements
- 5+ years of experience in Machine Learning Engineering , with deep expertise in Information Retrieval (IR) and Search technologies.
- 3+ years of technical leadership , guiding teams through complex architectural migrations and greenfield builds.
- Search Engine Expertise: Familiarity with indexing strategies using technologies like Elasticsearch, OpenSearch, Solr, or Vector Databases (Pinecone, Milvus) .
- Performance Engineering: A track record of optimizing API response times and database queries for high-throughput, low-latency applications.
- Cloud & Infrastructure: Experience with GCP (Kubernetes, Cloud Functions) and Infrastructure as Code (Terraform).
Nice To Haves
- Experience building "Instant Search" or "Type-ahead" features for high-traffic consumer mobile apps.
- Knowledge of mobile-side database technologies (e.g., Realm, SQLite, WatermelonDB) for offline-first or hybrid search architectures.
- Experience integrating GenAI or LLMs to power conversational search interfaces.
Responsibilities
- Architect Global Search: Build the foundational architecture for a unified Global Search entry point that creates a "Single Source of Truth" across Players, Teams, and Game Modes.
- Optimize for Speed: Engineer the Prizepicks search stack to achieve <200ms latency targets, evaluating and deciding between Server-side indexing v Advanced Retrieval Logic
- Implement fuzzy matching, nickname support, and natural language processing (NLP) to handle user queries like "Bron", “lal/LAL/Lakers” or "Rushing Yards" intuitively.
- Dataverse Integration: Partner with Data Engineering to ensure the Search Index is fed by real-time streams of projections, live game states, and social data, ensuring results are never stale.
Benefits
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
