Remote MLOps Team Lead

Description:

• Lead and mentor a team of MLOps engineers, fostering technical growth and operational excellence.
• Define and drive the MLOps roadmap, aligning infrastructure capabilities with Research, Engineering, and product objectives.
• Establish best practices for ML infrastructure, deployment, and operations.
• Own technical decision-making for ML infrastructure architecture and tooling choices.
• Architect and oversee scalable, automated machine learning pipelines and CI/CD workflows.
• Drive the design and implementation of robust model serving infrastructure using platforms like Triton and TensorFlow Serving.
• Define inference architecture strategy optimized for ultra-low latency and high throughput.
• Design and maintain feature stores and scalable storage solutions for large data volumes.
• Collaborate with research teams to bridge experimentation and production.
• Define logging, alerting, and monitoring strategy for model performance and system reliability.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 7+ years of experience in MLOps, with 3+ years in a technical leadership role.
• Strong software engineering skills in Python, with experience in Bash and/or Go.
• Proven track record of building and leading high-performing MLOps or infrastructure teams.
• Experience building and designing MLOps infrastructure from the ground up.
• Deep experience with MLOps platforms (MLflow, WandB) and frameworks (PyTorch, TensorFlow).
• Deep experience with model serving frameworks (Triton, TorchServe) for high scalability and low latency.
• Experience building and managing data pipelines for model training and inference.
• Good experience with Kubernetes on a major cloud provider and infrastructure as code (Terraform, Helm).
• Proficient with observability and monitoring tools (Prometheus, Grafana, Datadog).
• Excellent communication skills to translate between research and production contexts.

Benefits:

• Competitive compensation with salary and equity.
• Comprehensive health coverage for you and your dependents.
• Paid parental leave for all new parents, including adoptive and surrogate journeys.
• Relocation support for employees moving to join the team.
• A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action.