Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
Optimize model performance and scalability, ensuring high reliability and efficiency.
Build tools to improve the lives of our data scientists.
Contribute to the design and architecture of our ML systems.

Requirements

10+ years of development experience with a focus on Machine Learning and MLOps roles
Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
Experience with cloud platforms (preferably AWS) and their machine learning services.
Experience project managing a small team using a modern agile methodology
Experiencing influencing a cross-disciplinary organization to adopt best practices
Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
Strong understanding of data engineering and architecture principles.
Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Benefits

Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 10 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLPytorchTensorflowDockerKubernetesCI/CDAWSinfrastructure as codedata engineering

Soft Skills

collaborationcommunicationproject managementinfluencingproblem solving