Senior Software Engineer – AI/ML Platform

🕒 2 dias atrás

🌲 Oregon – Remoto

🌲 Oregon – Remote

💵 $197.000 - $307.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 9%

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Agility Robotics

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

📦 Logística

🏭 Manufatura

🔧 Hardware

Logistics • Manufacturing • Hardware

Começamos com avanços científicos e acrescentamos a isso engenharia de classe mundial. Abordamos tudo com foco na função. Nossos robôs foram projetados desde o primeiro dia para trabalhar e realizar o serviço.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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