Back to jobs
New

Senior Machine Learning Engineer - Computer Vision

U.S - Remote

Who We Are

We exist to unlock human potential.

Too often, AI drains it—drains budgets, drains energy resources, drains ownership of data. OpenTeams was founded to change that. We build AI that empowers. Our models are energy-efficient, cost-effective, and fully yours. 

Our ethos is open source. That means freedom, trust, and accountability are built into every line of code. We reinvest 3% of our profits back into the open-source community, because we believe tech is most powerful when it serves everyone.

At our core, we value freedom, teamwork, accountability, and uncompromising quality. If you want to fight Goliath, and shape tools that set people free, OpenTeams is the place to do it.

Job Title: Senior Machine Learning Engineer (Computer Vision) 

Location: Remote U.S.

Work Authorization: Must be authorized to work in the United States

About the Role

We're seeking an experienced Computer Vision Engineer who excels at the intersection of computer vision and robust software engineering. In this role, you'll build object detection systems, collaborate with cross-functional partners, and contribute to the technical vision for our computer vision initiatives to ensure our products and solutions are reliable, efficient, and impactful for our clients.

This role is perfect for engineers who are passionate about solving complex computer vision challenges and have strong experience deploying object detection models in production. You'll build detection systems that work across a wide range of infrastructure—from bespoke enterprise stacks to modern open solutions—working collaboratively in a supportive environment that values diverse perspectives and unconventional backgrounds.

What You'll Do

  • Guide the design, development, and deployment of scalable, robust, and efficient object detection systems, from data annotation and model training to inference serving and monitoring.
  • Develop and implement comprehensive monitoring frameworks to track object detection model performance, identify accuracy degradation and inference bottlenecks, and ensure optimal performance in production environments.
  • Collaborate closely with Data Scientists, Computer Vision Researchers, Infrastructure teams, and clients to translate complex detection requirements into robust and impactful ML solutions.
  • Optimize object detection pipelines for accuracy, speed, and resource efficiency across diverse deployment scenarios (cloud, edge, specialized hardware).
  • Mentor and support other engineers on the team, fostering their professional growth and promoting a culture of technical excellence, knowledge sharing, and continuous learning.
  • Maintain clear and thorough documentation to support knowledge sharing and future development.
  • Design scalable model serving solutions for both custom-trained detection models and foundation vision models.

 

What We’re Looking For

We encourage you to apply even if you don't meet every qualification listed. We value diverse perspectives and unconventional backgrounds.

  • Strong experience deploying, managing, and monitoring object detection models in production environments
  • Proficiency in Python and computer vision frameworks (PyTorch, TensorFlow, YOLO, Detectron2, etc.)
  • Understanding of object detection architectures (YOLO, Faster R-CNN, RetinaNet, DETR, etc.) and their trade-offs
  • Experience owning computer vision systems or products and understanding of the detection model lifecycle
  • Technical leadership experience or demonstrated leadership potential, especially in guiding teams and collaborative technical projects
  • Experience with image preprocessing, data augmentation, and annotation workflows for object detection
  • Experience optimizing detection models for inference speed and accuracy
  • Strong written and verbal communication skills and ability to collaborate effectively across multidisciplinary teams

Bonus Points (Not required, but nice to have)

  • Experience with full motion video (FMV) processing and object tracking in video streams
  • Familiarity with motion detection, multi-object tracking (MOT), or temporal modeling techniques
  • Experience with model optimization techniques (quantization, pruning, TensorRT, ONNX)
  • Background in edge deployment or real-time detection systems
  • Experience with specialized computer vision hardware (GPUs, TPUs, custom accelerators)
  • Familiarity with active learning or human-in-the-loop annotation workflows
  • Experience leading or mentoring remote teams
  • Previous experience contributing to open source computer vision, MLOps, or data projects and communities
  • Ability to obtain a US Government Security Clearance

What We Offer

  • Medical, Dental & Vision – 100% paid for employees, 75% for dependents
  • 401(k) Match – Up to 5% with full vesting after 2 years
  • Unlimited PTO – With a required minimum of 15 days off annually
  • Fully Remote Setup – Includes up to $3,000 equipment reimbursement
  • Continuous Education –  Includes up to $500 reimbursement
  • Disability & Life Insurance – 100% employer-paid
  • HSA & FSA Options – With monthly HSA contributions from OpenTeams

Grow With Us

At OpenTeams, growth isn’t just about the company—it’s about you.

We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. 

Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily.

We invest  in curiosity, creativity, and ownership. That means you’ll be trusted to take big swings, supported to learn fast, and celebrated for bold thinking.


Create a Job Alert

Interested in building your career at OpenTeams? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

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

Cover Letter

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

Select...
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 OpenTeams’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
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.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.