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Senior Software Engineer, AI/ML Platform

Agility Robotics· Software Engineering
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Remote$197k - $307kfull-timePosted 1mo ago

About the role

Senior engineer role focused on building and operating the ML infrastructure and platform to power fleet-scale humanoid robotics, including data processing, training, evaluation, model management, and observability.

Responsibilities

  • Contribute to the design and implementation of the ML platform for orchestrating the end to end AI flywheel of data processing, training, evaluation, and deployment
  • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation
  • Build core infrastructure components such as the model registry, feature store and experiment tracking tooling
  • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible
  • Implement the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments
  • Work closely with the Staff ML Infra Engineer and cross-functional stakeholders to translate requirements into scalable solutions
  • Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with existing data lake and pipelines
  • Apply MLOps best practices: reproducibility, lineage, rollback, monitoring and governance
  • Mentor junior engineers and influence the broader cloud platform roadmap
  • Contribute to platform architecture, reliability, and scalability discussions with the ML and data platform team

Qualifications

  • 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps in production
  • Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
  • Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Hands-on experience with processing or modeling multimodal data (sensor logs, camera streams, behaviour traces etc)
  • Comfortable collaborating cross-functionally with researchers, data engineers, and robotics/autonomy teams to ship infrastructure

Skills

Required:ML Platform DevelopmentOrchestration and Tracking ToolsCloud-Native PlatformsIaCMultimodal Data ProcessingCross-Functional Collaboration

Benefits

  • 401(k) Plan with 6% company match
  • Equity: company stock options
  • 100% company-paid medical, dental, vision, and short/long-term disability insurance
  • Eligible for benefits on first day of employment
  • Employee Assistance Program (EAP)
  • Flexible, unlimited PTO and holidays for exempt roles; paid vacation, sick leave, and holidays for non-exempt roles
  • Catered lunches four times a week and healthy snacks in Salem and Pittsburgh offices
  • Generous paid parental leave
  • Culture supportive of flexible work arrangements
  • Professional development and tuition reimbursement
  • Relocation assistance for eligible roles
  • Annual discretionary bonus
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Agility Robotics

Industrial Humanoid Automation | Agility

Industrial Humanoid Automation | Agility's humanoid robots are deployed today in manufacturing, distribution, and logistics. Proven automation for industrial environments.

ArcArms and roboticsAutomationDigitHumanoid robotsIndustrial automationcloud platformdistribution
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