Remote ML Engineer: Vision & Production for Robotics

AMP Robotics Corp.; Louisville (CO); Hybrid; USD 162,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Sick time

Flexible work hours

Job summary

AMP Robotics Corp. seeks a Machine Learning Engineer to join the Perception team and translate cutting-edge computer vision research into production-ready models deployed at scale.

You will collaborate with AI Data, ML modeling, and Cloud infrastructure engineers to design experiments, validate approaches, and ship reliable, low-latency solutions for our facilities and customers. Regular travel to Louisville CO may be required.

Qualifications

• Master’s degree in Computer Science or Machine Learning or equivalent.
• 4+ years' production-level Python experience.
• 4+ years' experience implementing statistical models in production.
• Proficiency with professional software engineering practices.
• Strong familiarity with PyTorch.
• Experiment design and execution experience.
• Research fluency in deep learning.

Responsibilities

• Experiment with modern neural network architectures for perception.
• Design and implement ML perception solutions in new domains.
• Design and execute experiments to validate R&D DL approaches.
• Path to production to deliver impact to facilities.
• Collaborate with AI Data Team, ML modeling engineers, and Cloud infra engineers.
• Serve as SME for experiment design and statistical modeling.
• Help maintain ML infrastructure.

Skills

Python

PyTorch

Experiment design

Production coding

Statistical models

Education

Master’s degree in Computer Science or Machine Learning

Tools

TensorRT

SQL

Git

Job description

AMP Robotics Corp. seeks a Machine Learning Engineer to join the Perception team and translate cutting-edge computer vision research into production-ready models deployed at scale.

You will collaborate with AI Data, ML modeling, and Cloud infrastructure engineers to design experiments, validate approaches, and ship reliable, low-latency solutions for our facilities and customers. Regular travel to Louisville CO may be required.