Senior Software Engineer

Responsibilities

• 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.
• Annual discretionary bonus for eligible roles.
• All roles are U.S.-based.