Machine Learning Engineer

Summary

AMP applies AI-powered sortation and robotics to modernize recycling infrastructure and improve resource recovery. The Machine Learning Engineer will develop, evaluate, and productionize deep learning and computer vision models, collaborate across AI, modeling, and cloud infrastructure teams, and support the company’s machine learning infrastructure.

Responsibilities

• Experiment with modern neural network architectures or techniques driven by research publications
• Design and implement machine learning perception solutions in new domains
• Design and execute experiments to validate R&D deep learning approaches
• When experiments have positive results, design a path to production to deliver impact to our facilities
• Collaborate with AI Data Team project managers, ML modeling engineers, and Cloud infrastructure engineers
• Serve as a subject matter expert for experiment design and statistical modeling for the Software organization, applying these skills to non deep learning projects when relevant
• Help us support and improve our ML infrastructure

Skills

• Master's degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience
• 3+ years' experience writing production-level code in python
• 3+ years of experience implementing statistical models in production environments
• Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations
• Strong familiarity with PyTorch
• Strong familiarity with experiment design and experiment execution
• Research fluency with a deep learning domain
• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 15 pounds at a time
• 3+ years of experience with deep learning, particularly computer vision
• Proficiency with neural network quantization, acceleration, and inference tools, particularly TensorRT
• Familiarity and interest in research-level mathematics
• Proficiency working with SQL databases and data pipelines
• Experience deploying large-scale and small-scale models in low-latency environments
• Startup ready mentality
• Passion for recycling, robotics and changing the world
• Full-remote with regular travel to AMP's Louisville CO HQ or
• Hybrid or full time in-office at AMP's Louisville CO HQ

Qualifications

Must Haves

• Master's degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience
• 3+ years' experience writing production-level code in python
• 3+ years of experience implementing statistical models in production environments
• Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations
• Strong familiarity with PyTorch
• Strong familiarity with experiment design and experiment execution
• Research fluency with a deep learning domain
• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 15 pounds at a time

Nice to Haves

• 3+ years of experience with deep learning, particularly computer vision
• Proficiency with neural network quantization, acceleration, and inference tools, particularly TensorRT
• Familiarity and interest in research-level mathematics
• Proficiency working with SQL databases and data pipelines
• Experience deploying large-scale and small-scale models in low-latency environments
• Startup ready mentality
• Passion for recycling, robotics and changing the world
• Full-remote with regular travel to AMP's Louisville CO HQ or
• Hybrid or full time in-office at AMP's Louisville CO HQ

Benefits

• Medical - The company covers up 78% to 100% of the premium for Cigna healthcare plans depending on the selection. Employees pay the difference in premium if they select a more expensive plan. Up to 75% for dependents.
• Dental, Vision, Short- and Long-Term Disability.
• 401(k) retirement plan (non-matching).
• Flexible Time Off
• 6 paid sick days.
• Eight (8) paid holidays.
• Full-remote with regular travel to AMP's Louisville CO HQ
• Hybrid or full time in-office at AMP's Louisville CO HQ
• Flexible work hours
• The opportunity to quickly accelerate your learning and growth