Making computer vision easy to use for developers.

Machine Learning Engineer – Deployments Team

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany Site LinkedIn

Location

California + 1 more

Posted

89 days ago

Salary

$163K - $182.5K / year

Bachelor Degree5 yrs expEnglishCloudPy TorchTensorflow

Job Description

• 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.

Job Requirements

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