Collaborate with Data Scientists to design and deploy intelligent, personalized recommendation models.
Contribute to architecture, design, and implementation to deliver high quality AI-driven solutions.
Design, build, and maintain scalable ML infrastructure and production systems.
Collaborate with Data Scientists to architect data pipelines for serving and training ML models.
Lead the team to build scalable, low-latency, and fault-tolerant systems to serve real-time recommendations.
Develop robust APIs and services to deliver real-time or batch recommendations (using Python, Go).

5+ years of experience in machine learning and backend software engineering.
Proficiency in at least one backend programming language (e.g., Go, Java) and Python.
Deep understanding of user modeling, embeddings, similarity search and ranking models.
Strong experience with serving architectures (e.g., REST/gRPC APIs, model servers).
Experience with ML pipeline tools (e.g., MLflow, Kubeflow, Airflow).
Strong grasp of distributed systems, microservices, and system design.
Experience with SQL and NoSQL databases and working with large-scale datasets.
Exposure to experimentation platforms and online A/B testing.

Employees (and eligible family members) are covered by medical, dental, vision and more.
Employees may enroll in our company’s 401k plan.
Employees will also be eligible to receive discretionary vacation for exempt team members.
Paid holidays throughout the calendar year.
Paid sick leave.
Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

Staff Machine Learning Engineer

Key skills