Machine Learning Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and create comprehensive machine learning infrastructure to convert experimental Data Science models into reliable, high-availability production services.

• Develop automation for deploying low-latency inference services that provide model predictions in milliseconds.

• Enable real-time decision-making for dynamic oddsmaking, risk assessment, and intelligent deposit defaults.

• Lead the development and optimization of a centralized feature store for intricate models across various business domains.

• Construct and manage essential ML platform components for training and experimentation in collaboration with the Infrastructure team.

• Advocate for model deployment, monitoring, and best practices in ML CI/CD.

• Implement automated retraining pipelines and establish observability to identify data drift and model performance decline.

⛳️ Requirements

• Over 3 years of experience in Platform Engineering, focusing on deploying and maintaining scalable ML platforms within high-traffic production settings.

• At least 1 year of experience managing ML systems from end-to-end in production, including on-call duties and incident management.

• Proficiency in streaming architectures like Kafka, Flink, or Pub/Sub.

• Experience in building low-latency inference services that deliver models in under 100 milliseconds.

• Extensive MLOps experience encompassing training, deployment, and monitoring.

• Familiarity with SageMaker, Vertex AI, vector databases, and graph databases.

• Experience in managing and scaling Redis or Elasticsearch caches.

• Skilled in containerization, Docker, Kubernetes, and cluster-level management.

• Strong expertise in Python and proficiency in Go.

• Must have authorization to work for any employer in the U.S.; employment visa sponsorship is not available.

• Experience with C++ or Rust is a significant advantage.

• A background in Daily Fantasy Sports, oddsmaking, or high-frequency trading is advantageous.

• Experience in building and scaling feature stores is a plus.

🏝️ Benefits

• Company-subsidized medical, dental, and vision plans.

• 401(k) plan with company matching contributions.

• Annual bonus opportunities.

• Flexible PTO to promote a healthy work/life balance (2 weeks STRONGLY encouraged!).

• Generous paid leave policies, including 16-week paid parental leave and disability benefits.

• Workplace flexibility with modern work schedules focused on achieving results rather than just hours worked.

• Company-wide in-person events and team outings.

• Lifestyle enhancement program.

• Provision of company equipment (Windows and Mac options available).

• Annual performance reviews with opportunities for career growth and development.