Machine Learning Engineer - Deployments Team

Roboflow•San Francisco, CA

9d•$163,000 - $182,500•Remote

About The Position

Machine Learning Engineer - Deployments Team Who We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety , digitizing floor plans , preserving coral reef populations , guiding drone flight , and much more . Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond. We’re supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. What We're Looking For Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small. You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college. Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our open source projects.

Requirements

You are an experienced Machine Learning practitioner who wants to be an important part of an exceptional team that focuses on using Roboflow's computer vision tools to impact and improve every industry.
You have high agency and a bias toward action.
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.
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.

Nice To Haves

Experience with video streaming protocols will be considered an advantage.

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.

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

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