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Roboflow · 3 weeks ago

Machine Learning Engineer - Deployments Team

United States

Full-time

Remote

Senior Level

$163K/yr - $182K/yr

5+ years exp

Roboflow is a company focused on making the world programmable through artificial intelligence, particularly in the realm of computer vision. They are seeking a Machine Learning Engineer to design and deliver advanced solutions for deploying machine learning models across various environments, while collaborating with cross-functional teams to enhance customer experience.

Artificial Intelligence (AI)Computer VisionDeveloper Tools

Responsibilities

Design and deliver advanced solutions that generate predictions from a wide range of Computer Vision models across diverse deployment environments — from cloud infrastructure to distributed edge devices

Build and evolve key components of the Roboflow Platform to ensure seamless, reliable model deployment at scale

Experiment with cutting-edge models and deployment technologies to identify optimal approaches and push the boundaries of performance

Optimize existing systems to improve speed, reliability, and overall efficiency

Collaborate closely with cross-functional Roboflow teams to provide tooling and deployment solutions that empower internal teams and enhance customer experience

Maintain and improve current deployment pipelines and infrastructure to ensure long-term stability

Contribute to and maintain Roboflow’s open-source projects, helping grow and support the broader developer community

Qualification

Machine LearningComputer VisionPyTorchTensorFlowSystem DesignImage ProcessingVideo ProcessingOpenCVDeepStreamPillowPyAVCollaborationProblem Solving

Required

5+ years of hands-on experience building and operating production-grade ML systems, ideally involving large-scale deployment of modern AI models

Practical expertise with core ML technologies, including several of the following: PyTorch, TensorFlow, ONNX, TensorRT

Strong proficiency in image and video processing, including several of the following: OpenCV, DeepStream, Pillow, PyAV. Experience with video streaming protocols will be considered an advantage

Strong foundational understanding of ML models, including how they work internally and how to adapt them for real-world, high-impact applications

Solid Computer Science background, with the ability to tackle complex programming and architecture challenges

Strong system design skills, with experience designing scalable and reliable systems

Ability to independently deliver high-quality solutions, exercising sound judgment on when to move fast and when engineering rigor is essential

Benefits

$4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers

$350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space

Cover up to 100% of your health insurance costs for you and your partner or family

Remote first/flexible schedule allowing you to work collaboratively with other team members and asynchronously

Unlimited PTO- with an annual 2 week minimum, we encourage you to take time off for yourself

12 weeks parental leave

Equity in the company so we are all invested in the future of computer vision