Senior Machine Learning Engineer - Computer Vision

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer – Computer Vision in the United States.

This role offers the opportunity to design, develop, and deploy advanced computer vision systems that power real-world AI applications. You will work on object detection pipelines from data annotation and model training to inference serving and monitoring, ensuring performance, scalability, and reliability across diverse deployment environments. The position emphasizes collaboration with cross-functional teams, technical leadership, and mentorship, while contributing to cutting-edge machine learning solutions. Ideal candidates are experienced in production deployment of object detection models and have strong skills in Python and modern computer vision frameworks. You will operate in a fully remote, supportive environment that values diverse perspectives, creativity, and innovation.

Accountabilities:

• Lead the design, implementation, and deployment of scalable and robust object detection systems.
• Develop monitoring frameworks to track model performance, detect accuracy degradation, and optimize inference speed and resource efficiency.
• Collaborate with Data Scientists, Computer Vision Researchers, Infrastructure teams, and clients to translate complex requirements into impactful ML solutions.
• Mentor and guide other engineers, fostering a culture of technical excellence and knowledge sharing.
• Document processes, pipelines, and architectures to support reproducibility and team learning.
• Design model serving solutions for both custom-trained and foundation vision models.
• Contribute to optimizing pipelines for cloud, edge, or specialized hardware deployment scenarios.

Requirements

• 3+ years of hands-on experience deploying computer vision or object detection models in production.
• Strong proficiency in Python and computer vision frameworks such as PyTorch, TensorFlow, YOLO, Detectron2, or equivalent.
• Deep understanding of object detection architectures (e.g., YOLO, Faster R-CNN, RetinaNet, DETR) and their trade-offs.
• Experience with image preprocessing, data augmentation, and annotation workflows for object detection.
• Ability to optimize models for inference speed, accuracy, and resource efficiency.
• Technical leadership or mentorship experience, with strong collaboration skills across multidisciplinary teams.
• Excellent written and verbal communication skills.
• Bonus points: experience with video object tracking, model optimization techniques (quantization, pruning, TensorRT, ONNX), edge deployment, specialized hardware, human-in-the-loop workflows, or open-source contributions.

Benefits

• Medical, Dental & Vision – 100% coverage for employees, 75% for dependents.
• 401(k) match up to 5%, fully vested after 2 years.
• Unlimited PTO with a minimum of 15 days annually.
• Fully remote setup with up to $3,000 equipment reimbursement.
• Continuous education reimbursement up to $500 annually.
• Employer-paid disability and life insurance.
• HSA & FSA options with monthly contributions.
• Collaborative, innovative, and supportive work environment promoting growth and learning.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!