Senior Software Engineer, AI/ML Platform

🕒 Agosto 20

🌲 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 24%

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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 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.