Machine Learning Engineer - Inference Maintainer & Developer Experience

Bazeta; Northern (KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Roboflow is seeking a Machine Learning Engineer to own and evolve the Inference engine and deployment pipeline. You will build, maintain, and scale production-grade ML systems while fostering open source contributions and strong customer enablement.

You will design automated reviews, triage, and end-to-end testing, enabling daily releases and rapid model integration across platforms. Collaboration with marketing, docs, and support will amplify impact.

Qualifications

• 5+ years of hands-on experience building and operating production-grade ML systems.
• Strong CV/ML foundation and understanding of inference in real-world deployments.
• Experience with open source contributions is a plus.

Responsibilities

• Build and maintain inference, our flagship CV engine, keeping it healthy and high-quality as contribution volume scales.
• Design an agentic-driven contribution pipeline — automated and semi-automated review, triage, and CI/CD.
• Develop a world-grounded test suite for nightly end-to-end runs across all targets.
• Define and enforce review standards and rules to guide agents and contributors.
• Streamline adding new models to inference to speed up deployments and usability.
• Teach internal teams and customers, enabling self-serve usage of inference features.
• Bridge core engineering and clients with docs, demos, and launches to improve adoption.
• Contribute to and grow the broader open source community around the project.

Skills

ML systems

Production deployment

Open source

CI/CD

Documentation

Job description

# Machine Learning Engineer - Inference Maintainer & Developer ExperienceUnited States15 hours agoID 1292942Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: RoboflowLevel: Any## DescriptionOur 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. At the center of all of this is inference — one of our most important open source projects and the engine that runs computer vision models everywhere, from cloud GPUs to edge devices in the field. It powers our commercial platform and is relied on by tens of thousands of developers. This role exists to be its steward. Why This Role Exists Inference is growing fast — and so is the volume of contributions, increasingly authored with the help of AI agents. That's a great problem to have, but it's outpacing our ability to keep quality high and cut releases on a predictable cadence. Today we ship roughly weekly, and it's a fight. We want to flip that equation. The goal is to build and continuously evolve an agentic-driven contribution and release pipeline — automated and semi-automated review, triage, CI/CD, and end-to-end testing — so that we can safely absorb a high volume of agent-generated PRs while staying firmly in control of quality. The ideal end state: nightly end-to-end tests across every target (both standalone and on-platform), backed by a growing, world-grounded suite that validates the real health of every build. With that foundation, daily releases become routine, and we can say \"yes\" to far more contributions without ever lowering the bar — pushing back, by design, according to strictly defined review standards. Alongside that, this person becomes the human face of inference : teaching internal teams and customers how to get more out of it, partnering with marketing to tell its story, and owning the (genuinely fun) work of bringing new models into the engine. What We're Looking For Primarily, you like to make great things with passionate colleagues. You are someone who 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 who thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college. You care about open source and the developers who depend on it. One of the best ways to stand out among other applicants is to write about something you've built with Roboflow, or to contribute to one of our open source projects — inference especially. What You'll Do • Build and maintain inference , our flagship open source and commercial CV inference engine, keeping it healthy and high-quality as contribution volume scales. • Build an agentic-driven contribution pipeline — automated and semi-automated review, triage, and CI/CD — so we can safely accept a high volume of agent-generated PRs and move from weekly releases toward daily ones. • Design and grow a world-grounded, ever-expanding test suite that validates real build health across every target (standalone and on-platform), with the goal of nightly end-to-end runs across all of them. • Define and enforce the \"rules of the road\" — the review standards and skills that agents and contributors must follow. Exercise sharp judgment on when to merge fast and when to push back, and encode that judgment into the system itself. • Streamline how new models get added to inference (the most fun part of the job) — making it dramatically faster and easier to bring the latest computer vision and ML models to our users. • Teach and enable internal teams and customers. Keep our Field Engineers and Support team a step ahead so they can self-serve and go deeper, and help customers get the full value of the product. • Be the bridge between core engineering and clients — translating new capabilities into docs, demos, stories, and launches which would help people use inference more effectively. • Contribute to and grow the broader open source community around the project. Who You Are 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. • A real CV/ML foundation — you understand what inference does: how computer vision models work internally, how they're deployed across diverse environments, and how to adapt them for real-world, high-impact use....