Senior Software Engineer, AI/ML Platform

🕒 August 20

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $197k - $307k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

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Agility Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

📦 Logistics

🏭 Manufacturing

🔧 Hardware

Logistics • Manufacturing • Hardware

Agility Robotics is a leading manufacturer of mobile manipulation robots, known for their humanoid robot Digit. The company focuses on deploying its robots in commercial settings, such as material handling workflows, to enhance productivity across various industries including third-party logistics, manufacturing, and retail & eCommerce. With their innovative cloud automation solution, Agility Arc, these robots provide game-changing automation solutions. Agility Robotics aims to revolutionize labor by integrating humanoid robots in settings where meaningful work and economic value are crucial.

📋 Description

• Architect and build foundational infrastructure for AI and machine learning operations at Agility Robotics. • Contribute to the ML platform orchestrating end-to-end data processing, training, evaluation, and deployment. • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation. • Build model registry, feature store, and experiment tracking infrastructure. • Own developer-facing APIs and CLI tools for simple, reproducible ML workflows. • Implement ML CI/CD for continuous retraining, automated testing, and model delivery to production. • Collaborate with the Staff ML Infra Engineer, AI researchers, robotics engineers, and data platform engineers. • Integrate ML orchestration and metadata tracking tools with existing data lakes and pipelines. • Apply MLOps best practices including reproducibility, lineage, rollback, monitoring, and governance. • Mentor junior engineers and influence the cloud platform organization’s roadmap. • Contribute to platform architecture, reliability, and scalability discussions. • Enable AI teams across perception, controls, skills, and innovation to develop and deploy foundation models and end-to-end policies for humanoid robots.

🎯 Requirements

• 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments. • 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 research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others. • Applicants must have current authorization to work in the United States.

🏖️ Benefits

• 401(k) Plan: Includes a 6% company match. • Equity: Company stock options. • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. • Benefit Start Date: Eligible for benefits on your first day of employment. • Well-Being Support: Employee Assistance Program (EAP). • Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. • Time Off: Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. • Parental Leave: Generous paid parental leave programs. • Work Environment: A culture that supports flexible work arrangements. • Growth Opportunities: Professional development and tuition reimbursement programs. • Relocation Assistance: Provided for eligible roles. • Annual Discretionary Bonus: Provided for eligible roles.