Senior Software Engineer – AI/ML Platform

Job not on LinkedIn

🔥 0 minutes ago

🌲 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 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 fleet scale • Design and implement the ML platform for end-to-end data processing, training, evaluation, and deployment • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation • Build the model registry, feature store, and experiment tracking tooling • Own developer-facing APIs and CLI tools for simple, reproducible ML workflows • Implement CI/CD for ML, including 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 practices including reproducibility, lineage, rollback, monitoring, and governance • Mentor junior engineers and influence the cloud platform organization’s roadmap • Contribute to discussions on platform architecture, reliability, and scalability • Enable AI teams across perception, controls, skills, and innovation to develop and deploy robot foundation models and end-to-end policies

🎯 Requirements

• 5+ years of software engineering experience, including at least 2+ years working on ML infrastructure, data platforms, or MLOps systems in production environments • Experience building and maintaining modern 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 such as CDK or Terraform • Hands-on experience processing or modeling multimodal data, including sensor logs, camera streams, and behavior traces • Ability to collaborate with research scientists, data engineers, and robotics/autonomy teams • Current authorization to work in the United States • Experience with robotics, autonomous vehicles, drones, or embedded ML • Contributions to open-source ML infrastructure or MLOps tooling are a plus

🏖️ Benefits

• 401(k) Plan with a 6% company match • Company stock options • 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees • Benefits eligible 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 at Salem and Pittsburgh locations • Generous paid parental leave programs • Flexible work arrangements • Professional development and tuition reimbursement programs • Relocation assistance for eligible roles • Annual discretionary bonus for eligible roles