Robotics Machine Learning Engineer
On-site Watertown Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Tutor Intelligence. Watertown · full-time · $90,000–$190,000 base.
SalaryStated by Tutor Intelligence
$90,000 – $190,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SeniorityMid-level
LocationWatertown
WorkplaceOn-site
EmploymentFull-time
Base pay$90,000–$190,000
PostedFeb 2, 2025 · 1y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Train and adapt visual and language foundation models, then deploy them across the robotics stack
- Run a feedback loop for models operating on robots in the field, using results to improve them
- Build cloud-based systems for training models and managing data
- Organize robot data in databases and improve its flow to support machine learning
- Help robots improve speed and accuracy through deep learning models, including CNNs
What you bring
- You know machine learning, especially visual models and newer approaches such as SAM and DINO
- You bring strong software skills and can work across Python models, inference systems, web interfaces, and databases
- You have general robotics knowledge and experience
- You bring computer vision and robotics expertise, with experience across different parts of the robotics stack
Who this fits
This role suits an engineer comfortable moving between machine learning and broader software or robotics work. The position is on-site in Watertown.
From the employer
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