Design and implement an ML platform orchestrating data processing, training, evaluation, and deployment workflows.
Develop reliable workflows across cloud compute, Kubernetes, and continuous automation.
Build model registry, feature store, experiment tracking, and related ML infrastructure components.
Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
Implement continuous integration and delivery for ML, including continuous retraining, automated testing, and model delivery to production.
Integrate ML orchestration and metadata tracking tools with existing data lakes and pipelines.
Apply MLOps practices including reproducibility, lineage, rollback, monitoring, and governance.
Collaborate with AI researchers, robotics engineers, data engineers, and platform teams to deliver scalable systems.
Mentor junior engineers and influence the broader cloud platform organization’s roadmap.
Requirements
5+ years of software engineering experience, including at least 2+ years working on ML infrastructure, data platforms, or production MLOps systems.
Experience building and maintaining ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
Familiarity with MLflow, WandB, Airflow, Kubeflow, or similar orchestration and tracking tools.
Proficiency with AWS, GCP, or Azure, containers, and infrastructure-as-code tools such as CDK or Terraform.
Hands-on experience processing or modeling multimodal data such as sensor logs, camera streams, and behavior traces.
Ability to collaborate with research scientists, data engineers, and robotics or autonomy teams.
Experience with robotics, autonomous vehicles, drones, or embedded ML is a bonus.
Contributions to open-source ML infrastructure or MLOps tooling are a bonus.
Applicants must have current authorization to work in the United States.
Benefits
Remote-friendly role with a fully distributed team and flexible work arrangements.
401(k) plan with a 6% company match.
Company stock options, company-paid medical, dental, vision, and short- and long-term disability insurance.
Benefits eligibility begins on the first day of employment.
Employee Assistance Program, paid parental leave, professional development, tuition reimbursement, and relocation assistance for eligible roles.
Flexible unlimited PTO and 12 company holidays for exempt employees, or 10 vacation days, paid sick leave, and 12 company holidays for non-exempt employees.
Catered lunches four times a week and snacks at Salem and Pittsburgh locations.