Machine Learning Engineer
AMP: AI-Powered Sortation for Waste and Recycling · Remote, United States
Posted 27 days ago · $162,000 to $170,000
or apply directly on AMP: AI-Powered Sortation for Waste and Recycling's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days AMP: AI-Powered Sortation for Waste and Recycling's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 76% of AMP: AI-Powered Sortation for Waste and Recycling's roles list one
- Ghost-job risk at AMP: AI-Powered Sortation for Waste and Recycling
- high 10 stale, 2 reposted of 17 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from AMP: AI-Powered Sortation for Waste and Recycling's own greenhouse board since 2026-08-03. Full hiring picture for AMP: AI-Powered Sortation for Waste and Recycling.
About this role
As a Machine Learning Engineer at AMP, you will focus on developing and deploying deep learning and computer vision models to enhance the company's AI-powered sortation technology. Your role involves experimenting with neural network architectures, designing machine learning solutions, and collaborating with various engineering teams to bring models from ideation to production. You will also support the ML infrastructure and serve as a subject matter expert in experiment design and statistical modeling.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AMP: AI-Powered Sortation for Waste and Recycling as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Medical - The company covers up 78% to 100% of the premium for Cigna healthcare plans depending on the selection
- Dental, Vision, Short- and Long-Term Disability
- 401(k) retirement plan (non-matching)
- Flexible Time Off
- 6 paid sick days
- Eight (8) paid holidays
Worth weighing
- Remote position with potential travel to headquarters in Louisville, CO
- Salary range provided ($162,000 to $170,000)
- Startup culture may imply a fast-paced and evolving work environment
Summarised from AMP: AI-Powered Sortation for Waste and Recycling's posting. Read the full original.
Listed by AMP: AI-Powered Sortation for Waste and Recycling on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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