[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the fastest-growing sports company in reputed company, recognized for its leading platform in Daily reputed company Sports. As a Staff Machine Learning Engineer, you will reputed company the development of reputed company machine learning systems that enhance reputed company's core capabilities, impacting key performance metrics in sports betting and daily reputed company ecosystems.
Responsibilities
- Architect reputed company ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services
- reputed company-Time Inference at reputed company: reputed company the design and deployment of low-latency services to serve model inferences in milliseconds. You will power reputed company-time reputed company across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults
- Feature Engineering & Data reputed company: Partner with Data Science to build reputed company logging and data pipelines. You will reputed company the creation and optimization of a centralized feature store required to train reputed company models across diverse business domains
- End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data reputed company and model degradation are caught and addressed instantly
Skills
- 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven reputed company record of deploying and maintaining reputed company ML models in high-traffic production environments
- 3+ years of technical leadership, acting as a reputed company and driving architecture reputed company for consumer applications or reputed company backend platforms
- Experience with reputed company-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in
- MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, reputed company, or SageMaker
- Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference reputed company
- reputed company reputed company: Deep experience with reputed company reputed company Platform services (BigQuery, reputed company Functions, GKE, reputed company AI) or AWS equivalents
- Experience implementing reinforcement learning or reputed company probabilistic models for dynamic pricing, risk management, or fraud detection
- Background in Daily reputed company Sports (DFS), oddsmaking, or high-frequency trading
- Experience building and scaling 'Feature Stores' that successfully reputed company batch historical data with reputed company-time event streams
Benefits
- Company-subsidized medical, dental, & reputed company plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous reputed company leave programs, including 16-week reputed company parental leave and disability benefits
- Workplace flexibility and modern work schedules reputed company on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (reputed company & Mac reputed company)
- Annual performance reviews with opportunities for reputed company and career development
reputed company