Senior Software Engineer – AI/ML Platform

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Design and construct foundational infrastructure for AI and machine learning operations at a large scale.

• Create and execute the ML platform for comprehensive data processing, training, evaluation, and deployment.

• Develop robust workflows utilizing cloud computing, Kubernetes, and continuous automation.

• Establish the model registry, feature store, and tools for experiment tracking.

• Manage developer-facing APIs and CLI tools to facilitate straightforward and reproducible ML workflows.

• Implement CI/CD practices for ML, including continuous retraining, automated testing, and production model delivery.

• Collaborate with the Staff ML Infrastructure Engineer, AI researchers, robotics engineers, and data platform engineers.

• Integrate ML orchestration and metadata tracking tools with existing data lakes and pipelines.

• Employ MLOps practices such as reproducibility, lineage, rollback, monitoring, and governance.

• Mentor junior engineers and shape the roadmap of the cloud platform organization.

• Engage in discussions regarding platform architecture, reliability, and scalability.

• Empower AI teams across perception, controls, skills, and innovation to create and deploy robot foundation models and end-to-end policies.

⛳️ Requirements

• Over 5 years of software engineering experience, including a minimum of 2 years focused on ML infrastructure, data platforms, or MLOps systems in production settings.

• Proven experience in building and maintaining contemporary ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.

• Familiarity with orchestration and tracking tools like MLflow, WandB, Airflow, Kubeflow, or similar.

• Proficient in AWS, GCP, or Azure; containers; and infrastructure as code tools such as CDK or Terraform.

• Practical experience in processing or modeling multimodal data, including sensor logs, camera streams, and behavior traces.

• Strong ability to collaborate with research scientists, data engineers, and robotics/autonomy teams.

• Valid authorization to work in the United States.

• Experience with robotics, autonomous vehicles, drones, or embedded ML is preferred.

• Contributions to open-source ML infrastructure or MLOps tools are advantageous.

🏝️ Benefits

• 401(k) Plan with a 6% company match.

• Company stock options.

• Comprehensive medical, dental, vision, and short/long-term disability insurance fully covered for employees.

• Eligibility for benefits starting on the first day of employment.

• Employee Assistance Program (EAP).

• Flexible, unlimited PTO and 12 company holidays, including a winter shutdown for exempt employees.

• 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually for non-exempt employees.

• Catered lunches four times a week and healthy snacks and refreshments available at Salem and Pittsburgh locations.

• Generous paid parental leave programs.

• Flexible work arrangements.

• Opportunities for professional development and tuition reimbursement.

• Relocation assistance available for eligible roles.

• Annual discretionary bonus for qualifying roles.