PrizePicks is the fastest-growing sports company in North America according to the 2023 Inc. 5000 rankings, two years running, and the largest independent skill-based fantasy sports operator in the country.
Staff Machine Learning Engineer: Search
Location
United States
Posted
36 days ago
Salary
Not specified
Job Description
Role Description
As a Staff Data Science Engineer, you will be developing, maintaining, testing, and leading projects regarding global search. You will architect a native Search & Discovery Module powered by our Dataverse Stack. Your goal is to deliver a search experience that is fast (<200ms), smart, and personalized. You will transform Search from a utility into a primary driver of gameplay.
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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.
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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.
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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.
Qualifications
- 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.
- Familiarity with indexing strategies using technologies like Elasticsearch, OpenSearch, Solr, or Vector Databases (Pinecone, Milvus).
- A track record of optimizing API response times and database queries for high-throughput, low-latency applications.
- Experience with GCP (Kubernetes, Cloud Functions) and Infrastructure as Code (Terraform).
Requirements
- 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.
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
Job 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.
- Familiarity with indexing strategies using technologies like Elasticsearch, OpenSearch, Solr, or Vector Databases (Pinecone, Milvus).
- A track record of optimizing API response times and database queries for high-throughput, low-latency applications.
- Experience with GCP (Kubernetes, Cloud Functions) and Infrastructure as Code (Terraform).
- 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.
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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