Senior Machine Learning Engineer - Computer Vision at OpenTeams

, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Object Detection, Python, PyTorch, TensorFlow, YOLO, Detectron2, Model Optimization, Data Annotation, Monitoring Frameworks, Technical Leadership, Collaboration, Documentation, Inference Speed, Accuracy

Industry

Software Development

Description

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.

Responsibilities

Guide the design, development, and deployment of scalable object detection systems. Collaborate with cross-functional teams to ensure reliable and impactful ML solutions.