---
title: 'Machine Learning Engineer at AMP: AI-Powered Sortation for Waste and Recycling'
canonical: 'https://feeny.ai/job/machine-learning-engineer-amp-ai-powered-sortation-for-waste-and-recycling-z2m4c9e88q30'
type: 'job'
last_seen: '2026-09-12'
---

# Machine Learning Engineer at AMP: AI-Powered Sortation for Waste and Recycling

- **Company:** AMP: AI-Powered Sortation for Waste and Recycling
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/ampsortation/jobs/7919163003

## Job description

AMP is applying AI-powered sortation at scale to modernize the world's recycling infrastructure and maximize the value in waste. AMP gives waste and recycling leaders the power to harness AI to reduce labor costs, increase resource recovery, and deliver more reliable operations. With hundreds of deployments across North America, Asia, and Europe, AMP’s technology offers a transformational solution to waste sortation and changes the fundamental economics of recycling.

Headquartered in Louisville, Colorado, the Denver Post and BuiltIn Colorado have recognized AMP as one of the state's top workplaces. AMP has operations and career opportunities outside of Atlanta, Cleveland, Portsmouth, Virginia, and Europe. We’re fostering an environment where passionate individuals can grow and create impact. We seek unconventional thinkers to join our mission to enable a world without waste; at AMP, your contributions have meaning and can spur change. With backing from top-tier investors and national recognition including North American Cleantech Company of the Year, we’re always seeking ways to better our operations, raising the bar on innovation, and looking to collaborate and improve in what we do. Learn more at AMPSortation.com.

AMP Robotics is hiring a Machine Learning Engineer reporting to the Engineering Manager of Perception to focus on developing our deep learning and other machine learning models and shipping them to production. AMP doesn’t just do machine learning, we are driven forward by it. Our core technology revolves around deep-learned models applied to robotics domains, and we are always striving to improve our performance. In pursuit of this, AMP is looking for a highly skilled individual to join our machine learning team and aid in building out cutting edge computer vision technology. In this role, you would be an individual contributor on our perception team, working on deep learning and computer vision research and development projects to help us implement state of the art deep learning techniques, and helping to develop new applications by working hands-on with data, modeling, and evaluation. You would aid in bringing models from ideation all the way through to production, and help us to maintain our technological edge.

As our Machine Learning Engineer, you will work to:

- 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.

The successful candidate will have:

Required:

- Master’s degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience.
- 4+ years' experience writing production-level code in python.
- 4+ 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.

Preferred:

- 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.

Working Conditions/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 15 pounds at a time.

Remote or Hybrid:

- Full-remote with regular travel to AMP's Louisville CO HQ or
- Hybrid or full time in-office at AMP's Louisville CO HQ

AMP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Applicants who identify with a historically underrepresented group are encouraged to apply. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Other duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

We recognize that there is more to work than the day-to-day responsibilities. In addition to a collaborative, high-performing team environment, we’re pleased to offer competitive base salaries; medical, dental and vision insurance; a 401(k) plan; paid time off and sick time; flexible work hours; and the opportunity to quickly accelerate your learning and growth.

Salary & Compensation information: $162,000 to $170,000

Benefits information:

- 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

## About AMP: AI-Powered Sortation for Waste and Recycling

## Company Overview
- **One-liner**: AMP applies AI-powered sortation at scale to modernize the world’s recycling infrastructure, using computer vision, robotics, and automation to sort waste and recyclables for municipalities and waste companies.
- **Entity Type**: Private (Series D)
- **Headquarters**: Louisville, Colorado, United States
- **Founded**: 2015
- **Founders**: Matanya Horowitz

## Core Business
- **Primary Industries**: Climate Technology, Product Manufacturing, Waste & Recycling
- **Target Customers**: Municipalities, waste management companies, recycling facilities (B2B / Enterprise)
- **Mission/Purpose**: To enable a world without waste by modernizing and scaling the world’s recycling infrastructure.

## Products & Services
- **AMP ONE**: Fully automated, facility-scale sortation solution deploying AMP Smart Sortation™ at scales of 10K–1M+ tons/year, ready to commission in less than 12 months.
- **AMP Smart Sortation™**: AI-powered sortation service and automation platform for single-stream recycling and municipal solid waste.
- **Robotic Sortation Systems (Delta, Jet, MicroJet)**: Robotic arms and high-speed air-jet sortation systems for in-stream quality control and reliable material separation.
- **Real-Time Material Characterization**: Continuous, AI-driven identification and classification of waste materials to optimize recovery and purity.

## Market Standing
- **Total Funding**: $266.3 million (as of latest data)
- **Latest Funding Round**: Series D of $91.0 million (led by Congruent Ventures, December 2024)
- **Notable Investors**: Sequoia Capital, Wellington Management, Congruent Ventures, National Science Foundation (early grant)
- **Annual Revenue**: $6.7 million (estimated)
- **Headcount**: 113 employees (+5.3% YoY)
- **Geographic Reach**: Operations in the United States, Ireland, Netherlands, Denmark, Canada, and the United Kingdom — with hundreds of deployments across North America, Asia, and Europe.
- **Key Milestone**: AMP ONE facility processing 108,000 tons of material annually in partnership with Southeastern Public Service Authority (SPSA).
- **Recognition**: Named North American Cleantech Company of the Year.

## Competitive Advantages
- **Proprietary AI & Computer Vision**: AMP’s core differentiator is its deep-learning-based material recognition platform, which continuously improves accuracy and can identify thousands of material types (plastics, metals, paper, etc.) in real time.
- **End-to-End Facility Operations**: Unlike many competitors who only sell robotic arms, AMP designs, builds, and operates entire sortation facilities (AMP ONE) — capturing value across the full waste processing chain.
- **Proven Scalability**: Hundreds of systems deployed across three continents, with a demonstrated ability to handle high-volume (10K–1M+ tons/year) facilities.
- **Labor Solution**: Directly addresses chronic labor shortages in recycling by automating dangerous and repetitive sorting tasks, while creating new high-skilled jobs in manufacturing and operations.

## Strategic Focus
- **Expanding AMP ONE Facilities**: Scaling the deployment of fully automated, AI-driven waste processing facilities to capture more value and increase landfill diversion rates.
- **Geographic Expansion**: Continuing to enter new markets in Europe and Asia, building on existing presence in 6+ countries.
- **Deepening AI Capabilities**: Advancing real-time material characterization to improve purity and recovery economics for customers.
- **Partnerships with Municipalities**: Growing long-term service agreements like the SPSA partnership to secure recurring revenue and demonstrate impact.

## Why Work Here
- **Mission-Driven**: The company is united by a clear mission to “enable a world without waste,” which gives daily work a strong sense of purpose and environmental impact.
- **Cutting-Edge Tech Environment**: Engineers and operators work with advanced AI, computer vision, and robotics systems at commercial scale — providing a rare opportunity to apply cutting-edge tech to a physical-world problem.
- **Growth Stage Company**: With $266M in funding and recent Series D, AMP is well-capitalized but still at a scale (113 employees) where individuals can make outsized contributions.
- **Location & Recognition**: Headquartered in Louisville, Colorado (near Denver) and recognized as a top workplace by the Denver Post and BuiltIn Colorado. Hybrid/office roles available across Colorado and facility operations in Virginia, Atlanta, Cleveland, and Europe.
- **Culture**: Described as fostering an environment where passionate individuals can grow and create impact. Leadership emphasizes continuous innovation and collaboration.

## Sources
1. [ampsortation.com — Company Website](https://ampsortation.com/)
2. [ampsortation.com — About Page](https://ampsortation.com/about)
3. [ampsortation.com — Careers Page](https://ampsortation.com/careers)
4. [linkedin.com — AMP Company Profile](https://www.linkedin.com/company/amp-sortation)
5. [Greenhouse — AMP Job Board](http://job-boards.greenhouse.io/ampsortation)

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