PrizePicks

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

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

36 days ago

Salary

Not specified

Information RetrievalSearch TechnologiesElasticsearchOpen SearchSolrVector DatabasesKubernetesTerraformGoogle Cloud PlatformJavaPythonSQL

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

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.

  • 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.
  • 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.

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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