Job Description
About DiffuseDrive
- Data is scarce for AI. We are solving the data scarcity problem for computer vision, filling critical data gaps so that machines, autonomous drones/vehicles, and robots can truly perceive the real world with more confidence than ever before.
- We’re a San Francisco-based, seed-stage startup with a fully remote engineering team in Europe.
- We’re already serving Fortune 500 customers in autonomous driving and onboarding prime defense contractors.
- DiffuseDrive is a rocket ship just about to launch, tackling the most important computer vision problem: real-world data.
- As we do our job, physical AI (machines and robots) will become more abundant to handle life’s most dangerous or mundane tasks.
About the Team
- Fully remote, globally distributed (CEO & CTO in San Francisco, founding engineers across Europe) with quarterly company retreats.
- We call ourselves a “professional sports team”: everyone is a superstar in their position, performs at the highest level, and is eager to support fellow teammates. We win together, we lose together.
- Hacker mindset, a can-do/will-do attitude, and ready to tackle challenges that didn’t exist a week ago.
- We’re a diverse team ranging from theoretical physicists to engineers, all of whom have evolved into AI experts covering the full ML lifecycle: cutting-edge Generative AI, data science, data engineering, DevOps, and MLOps.
- Collectively, we’ve built and sold products in autonomous driving, content creation/live-streaming, and retail analytics at top Fortune 500 companies.
Current Tech Stack
- Cloud & Infrastructure: Azure and AWS for compute, storage and data management.
- Containers & Automation: Docker and Azure Machine Learning pipelines.
- AI & ML Frameworks: Python is our go-to (PyTorch, diffusers, transformers), with deep dives into generative modeling, diffusion models, and large foundational models.
- OS & Tooling: Linux and macOS development environments.
- Cutting-Edge Concepts: We obsess over generative AI, foundation models, MLOps best practices, model deployment, and automation of the entire ML lifecycle.
About You
- You’re a cocky and extremely talented hacker, anticipating tasks and getting the job done without nudging.
- You’d love to be our MLOps Engineer, an MLOps/DevOps wizard with deep expertise across the entire ML lifecycle.
- You’re proficient in English (we’re a distributed team with international customers).
- You religiously keep up with the latest and greatest in AI and have the desire to work at the absolute cutting edge.
- You thrive in our startup culture: a jack of all trades, master of MLOps, flexible, and hungry for challenges.
- You own what you build, confront leadership if they’re wrong, and dream of leaving a mark on the world by solving real-world problems.
What We Offer
- The coolest team you’ll ever work with, no BS, just brilliant minds solving problems that shape the future.
- A playground of state-of-the-art tech (yes, we’re those geeks who experiment daily with the latest frameworks).
- A fast-paced environment that encourages bold moves, big ideas, and zero red tape.
- Competitive compensation (base salary + vesting stock units).
- Grow with us as we solve the data scarcity problem for computer vision.
- Fully remote with the setup you need.
If you’re ready to join a team that’s pushing the boundaries of computer vision, let’s talk. We’re building the future, and we need your MLOps genius to help make it happen. Let’s make the world a sexier place, one AI-driven solution at a time.