ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ML Engineer (AI/Computer Vision): Building and maintaining a high-performance open-source computer vision inference engine with an accent on agentic-driven contribution pipelines and CI/CD automation. Focus on automating the engineering process, designing world-grounded test suites, and streamlining the integration of new ML models.
Location: NY, SF or Remote (Distributed across the US and Europe). Relocation bonus available for Hubs.
Salary: $155k - $180k
Company
is an AI platform that simplifies building and using computer vision models for over 1 million developers worldwide.
What you will do
- Build and maintain the flagship open-source and commercial CV inference engine.
- Develop an agentic-driven contribution pipeline featuring automated review, triage, and CI/CD to move toward daily releases.
- Design and grow a world-grounded test suite to validate build health via nightly end-to-end runs.
- Define and enforce review standards and "rules of the road" for AI agents and contributors.
- Streamline the integration process for adding the latest computer vision and ML models to the engine.
- Act as a technical bridge between core engineering and clients, creating docs, demos, and stories.
Requirements
- 5+ years of hands-on experience building and operating production-grade ML systems.
- Strong foundation in computer vision (CV) and ML, including internal model mechanics and deployment across diverse environments.
- Stellar agentic skills, with a track record of using AI coding agents to automate engineering processes (review, triage, testing).
- Strong CS and systems background with the ability to handle complex architecture and reliability challenges.
- Experience with CI/CD, release engineering, and automated test infrastructure.
- Practical expertise with PyTorch, TensorFlow, ONNX, TensorRT, vLLM, OpenCV, and image/video processing.
Nice to have
- Open source maintenance experience.
- Experience with video streaming protocols.
Culture & Benefits
- Remote-first culture with flexible schedules and unlimited PTO (2-week minimum).
- $4,000 annual travel stipend for team onsites and a $350/mo productivity stipend.
- $350/mo AI tools stipend and 100% coverage for health insurance.
- Equity in the company and 12 weeks of parental leave.
- $150/mo team lunch stipend.
Hiring process
- Application review followed by a 15-minute technical assessment.
- Team interviews: live coding, home assignment, and meetings with the core team and hiring manager.
- Final stage: culture discussion with Head of Operations and a meeting with the CEO.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →