Machine Learning Engineer

Back to jobs
Machine Learning Engineer
Remote, United States

Apply

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

Create a Job Alert

Interested in building your career at AMP: AI-Powered Sortation for Waste and Recycling? Get future opportunities sent straight to your email.
Create alert

Apply for this job

*

indicates a required field

Autofill my application

First Name *

Last Name *

Email *

Phone Country *

Phone *

Location (City) *

Locate me
Resume/CV *
Attach Attach

Google Drive
Enter manually Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter
Attach Attach

Google Drive
Enter manually Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School Select...

Degree Select...

Discipline Select...

Start date month Select...

Start date year

End date month Select...

End date year

Add another
Will you now or could you in the future require sponsorship to obtain work authorization or to transfer or extend your current visa? (You must answer “Yes” if your current visa is tied to your spouse or partner’s visa or if you are on a bridging visa or working holiday visa) * Select...

Export Control and Compliance: For the sole purpose of determining export licensing requirements, please list any countries of which you are a citizen or legal permanent resident, and when you obtained such status. *

Do you have professional hands-on experience developing and training deep-learning/neural-network models? *

Do you have professional experience developing computer-vision models? *

U.S. Standard Demographic Questions
We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.

How would you describe your gender identity? (mark all that apply) Select...

How would you describe your racial/ethnic background? (mark all that apply) Select...

How would you describe your sexual orientation? (mark all that apply) Select...

Do you identify as transgender? Select...

Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select...

Are you a veteran or active member of the United States Armed Forces? Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.
Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring
process or thereafter. Any information that you do provide will be recorded and maintained in a
confidential file.

As set forth in AMP: AI-Powered Sortation for Waste and Recycling’s Equal Employment Opportunity policy,
we do not discriminate on the basis of any protected group status under any applicable law.

Gender Select...

Are you Hispanic/Latino? Select...

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.
As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure
the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories
is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Veteran Status Select...

Submit application