We are a well-funded Series A startup on a mission to make e-commerce logistics more human-friendly and efficient with AI-powered robotics .

Founded by leading roboticists, we are growing our team of dynamic and compassionate tech enthusiasts to deploy robots at scale. Join us in building the most dexterous robots on the planet!

We seek a Machine Learning Engineer t o build software infrastructure for training, deploying, versioning, monitoring, and updating a suite of deep learning models in production. In this role, you will work closely with the CTO, VP of Software, Product Lead, and Head of ML/CV.

In this role, you will architect, develop, and maintain:

• Machine learning infrastructure for prototyping, training and deploying different deep learning models.
• Continuous learning pipelines for dynamically curating new training datasets of out-of-distribution inputs and failure modes that interact with data labeling infrastructure (in-house and third-party) in a turn-key fashion.
• CI/CD pipelines for deploying new models with online experiments informed by statistical methods such as A/B testing.
• Model registry for a variety of ML models, cfgs, on-prem and cloud datasets.
• Instrumentation and tooling for monitoring/debugging live models.

You're a good fit if you have:

• Eagerness to learn, solve challenging problems, and lead with curiosity.
• A desire for career growth and ownership of your work.
• Excitement about amplifying human potential with state-of-the-art robotics.
• 2+ years of experience in a professional ML SWE role, working with ML teams in a production environment.
• Proficiency with Python, PyTorch, and OOP design/implementatoin/testing.
• Expertise with general SWE practices/workflow including design documentation, code review, API design/implementation, containerization, and cloud computing.
• Familiarity with basic machine learning theory (e.g. supervised learning).
• Experience with CI/CD pipline design and implementation, including cloud orchestration.
• Comfortable working in a Linux dev environment.
• (BONUS) Experience with AWS, C++/Java, Node, ML Ops, sys admin practices,

In addition to competitive compensation, we offer benefits such as:

• Health, dental, and vision insurance
• 401k with 5% matching by Ambi
• Unlimited PTO
• Access to a full gym at HQ
• Free parking on site at HQ
• Free lunches 2x per week
• Equity ownership

Job Type: Full-time

Pay: $200,000.00 - $250,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Schedule:

• Monday to Friday

Work Location: Remote

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