Machine Learning Engineer – Remote

Sundayy; United States; Hybrid; USD 162,000 - 170,000; Full time

Benefits offered by this job

Health coverage

Dental & Vision insurance

Disability coverage

401(k) retirement plan

Flexible PTO & holidays

Remote work options

Job summary

AMP Robotics seeks a highly skilled Machine Learning Engineer to advance perception capabilities in robotics. You will design and deploy DL/ML models for real-time perception, collaborating with AI data teams, ML modeling engineers, and cloud infrastructure staff to take ideas from concept to production.

You will drive experiments, validate model robustness, and contribute to scalable ML infrastructure. A strong background in PyTorch, statistics, and low-latency deployment is essential, with a

Qualifications

• Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent work experience.
• 4+ years of experience developing production-level code in Python.
• 4+ years of experience implementing statistical models in operational environments.
• Proficiency with PyTorch and experience in deep learning research and development.
• Experience deploying models in low-latency, large-scale environments.

Responsibilities

• Design, develop, and optimize deep learning and machine learning models for perception tasks in robotics applications.
• Experiment with modern neural network architectures and techniques from current research publications.
• Translate research ideas into scalable, production-ready solutions that deliver measurable impact.
• Collaborate with cross-functional teams to define project requirements and integrate models into existing systems.
• Conduct rigorous experiments to validate model performance and robustness.
• Develop and maintain ML infrastructure, ensuring efficiency, scalability, and reliability.
• Serve as a subject matter expert in experiment design, statistical modeling, and deep learning methodologies.
• Support continuous improvement of model deployment pipelines and infrastructure.
• Contribute to knowledge sharing, documentation, and best practices within the team.

Skills

Python

PyTorch

Statistical analysis

Experiment design

Low-latency deployment

CI/CD

Collaboration

Education

Master’s degree in Computer Science/ML

Tools

TensorRT

SQL databases

Job description

About The Company

AMP Robotics is a pioneering technology company dedicated to transforming the global recycling infrastructure through the application of artificial intelligence and robotics. Headquartered in Louisville, Colorado, AMP has established itself as a leader in AI-powered waste sortation, enabling waste and recycling organizations worldwide to optimize resource recovery, reduce labor costs, and improve operational reliability. With a proven track record of hundreds of deployments across North America, Asia, and Europe, AMP’s innovative solutions are revolutionizing the economics of recycling and waste management. Recognized for its excellence and innovation, AMP has received numerous accolades including being named North American Cleantech Company of the Year and being featured as one of Colorado’s top workplaces by the Denver Post and BuiltIn Colorado. The company’s mission is to enable a world without waste, fostering an environment where passionate, unconventional thinkers can create meaningful impact. Supported by top-tier investors and committed to continuous improvement, AMP is always seeking talented individuals to join its dynamic team and contribute to sustainable change. Learn more about our work and vision at AMPSortation.com.

About The Role

AMP Robotics is seeking a highly skilled Machine Learning Engineer to join our perception team, reporting to the Engineering Manager of Perception. In this role, you will be at the forefront of developing and deploying advanced deep learning and machine learning models that enhance our robotics and computer vision capabilities. Your primary focus will be on designing, experimenting with, and implementing innovative perception solutions across various domains, transforming research ideas into real-world applications. You will work closely with cross-functional teams, including AI Data Team project managers, ML modeling engineers, and cloud infrastructure engineers, to ensure seamless integration of models from conception to production. Your expertise will be instrumental in maintaining AMP’s technological edge and advancing our mission to modernize waste sortation systems. This position offers an exciting opportunity to contribute to impactful projects that drive sustainability and innovation in recycling technology.

Qualifications

• Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent work experience
• 4+ years of experience developing production-level code in Python
• 4+ years of experience implementing statistical models in operational environments
• Proficiency with PyTorch and experience in deep learning research and development
• Strong understanding of experiment design, statistical analysis, and validation techniques
• Experience with deploying models in low-latency, large-scale environments
• Knowledge of software engineering best practices, including version control, code reviews, testing, and CI/CD pipelines
• Excellent collaboration skills and ability to work effectively within a multidisciplinary team

Preferred Qualifications Include

• 3+ years of deep learning experience, particularly in computer vision applications
• Experience with neural network quantization, acceleration, and inference tools such as TensorRT
• Familiarity with research-level mathematics and data pipeline development
• Experience working with SQL databases and data management systems
• Hands-on experience deploying models in real-time, low-latency environments
• Startup mentality with a passion for recycling, robotics, and environmental sustainability

Responsibilities

• Design, develop, and optimize deep learning and machine learning models for perception tasks in robotics applications
• Experiment with modern neural network architectures and techniques inspired by current research publications
• Translate research ideas into scalable, production-ready solutions that deliver measurable impact
• Collaborate with cross-functional teams to define project requirements and integrate models into existing systems
• Conduct rigorous experiments to validate model performance and robustness
• Develop and maintain ML infrastructure, ensuring efficiency, scalability, and reliability
• Serve as a subject matter expert in experiment design, statistical modeling, and deep learning methodologies
• Support continuous improvement of our model deployment pipelines and infrastructure
• Contribute to knowledge sharing, documentation, and best practices within the team

Benefits

• Competitive salary ranging from $162,000 to $170,000
• Comprehensive health coverage, with up to 78% to 100% of premiums paid for Cigna healthcare plans, including options for dependents
• Dental and vision insurance plans
• Short-term and long-term disability coverage
• 401(k) retirement plan (non-matching)
• Flexible paid time off and sick leave (up to 6 paid sick days)
• Paid holidays (eight days annually)
• Remote work options with regular travel to Louisville, Colorado headquarters or hybrid/in-office arrangements
• Opportunities for professional growth, learning, and impactful work in sustainability and robotics

Equal Opportunity

AMP Robotics is an equal employment opportunity employer. We are committed to creating a diverse and inclusive environment for all employees and applicants. We prohibit discrimination and harassment of any kind based on 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. We encourage individuals from underrepresented groups to apply. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, transfer, and training. We believe that diverse perspectives foster innovation and excellence, and we strive to ensure a welcoming and equitable workplace for everyone.