The Role
Develop, fine-tune, and deploy visual and language foundation models (e.g., SAM, DINO) to robots in the field; build cloud-based training and inference infrastructure; manage and optimize robot data flows and databases; contribute across the robotics stack including web UI and full-stack deployment.
Summary Generated by Built In
The Company:
Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.
The Role:
In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.
For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.
At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.
Our Culture:
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.
Responsibilities:
- Train, fine tune, and deploy visual and language foundation models across our stack
- Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential
Skills Needed
- Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
- Strong software skills
- Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
- General robotics knowledge & experience
Skills Required
- Experience training and fine-tuning visual and language foundation models (e.g., SAM, DINO)
- Strong software engineering skills, including Python
- Full-stack ability to deploy inference infrastructure and web UIs
- Experience with databases and managing data pipelines for ML
- General robotics knowledge and experience deploying models to robots
- Experience with computer vision and CNN-based models
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The Company
What We Do
Tutor Intelligence is a full-service robotics and automation provider built to serve contract packagers. We partner with the world's largest 3PLs to automate what has stumped the industry for decades: short-run packaging and post-packaging where SKUs, patterns, orders, and volumes are constantly changing
