Roboflow

Recruitment

• Own interview coordination across priority searches, including scheduling, rescheduling, calendar logistics, interviewer reminders, candidate communications, and follow ups
• Create a polished, responsive, and thoughtful candidate experience from first interview through final stage
• Partner with recruiters, hiring managers, and external search partners to keep active searches organized and moving quickly
• Maintain accurate candidate, job, stage, and interview data in Ashby
• Help prepare interview plans, candidate packets, scorecard reminders, hiring manager updates, and weekly search health materials
• Track recruiting process blockers, delayed feedback, scheduling issues, and next steps
• Support weekly search health meetings by helping prepare agendas, notes, action items, and follow ups
• Help create and improve recruiting workflows, templates, checklists, documentation, and reporting
• Support offer and onboarding logistics in partnership with the People team as needed
• Serve as a trusted operational partner to candidates, interviewers, recruiters, hiring managers, and company leaders

Recruiting Coordinator

Developer Relations

• 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.

Machine Learning Engineer – Inference Maintainer, Developer Experience

Full-stack Engineer

• Own entire product surfaces from idea to impact
• Set the roadmap and advocate for high priority projects
• Work on integrating marketing and sales tools and automating internal processes
• Collaborate directly with the Engineering Lead and team of Engineers
• Help improve user flows based on feedback

Recruiting Coordinator

Machine Learning Engineer – Inference Maintainer, Developer Experience

Product Engineer