--- title: 'Robotics Research Scientist at Tutor Intelligence' canonical: 'https://feeny.ai/job/robotics-research-scientist-tutor-intelligence-watertown-p0ed5pdjw6mn' type: 'job' last_seen: '2026-09-09' --- # Robotics Research Scientist at Tutor Intelligence - **Company:** Tutor Intelligence - **Location:** Watertown, MA - **Compensation:** $100k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-08-30 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.lever.co/tutorintelligence/89213901-e04c-43af-8937-392a9f63dabd ## Job description The Company We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. ** As an AI robotics company that 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. 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’re characterized by both technical excellence and next-level collaboration and respect. ## The Role Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level. Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development. ## Requirements - Exceptionally strong programming skills and comfort in one or more programming languages - Natural collaborator, excited to work closely around a whiteboard in a team setting - Excited by the future full of robots and a reshaped physical economy - Not afraid to step foot in a factory or a warehouse Nice to haves (zero or more) - Advanced proficiency with Python and/or Typescript + React - Experience with robot arms / manipulation - Experience with motion planning and robot optimization - Experience with perception or computer vision (deep or classical) - Experience with infra and devtools (systemd, Docker, Kubernetes) - Experience with hardware / software integration ## About Our Roles & Titles At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process. That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on. ## About Tutor Intelligence ## Company Overview - **One-liner**: Tutor Intelligence builds AI-powered robot workers for manufacturing and logistics, deploying intelligent physical automation that adapts to dynamic industrial environments. - **Entity Type**: Private (Series A, total funding $78.7M) - **Headquarters**: Watertown, Massachusetts, USA - **Founded**: 2021 (earliest corporate round) - **Founders**: Josh Gruenstein (CEO) and Alon Kosowsky-Sachs (Co-Founder) ## Core Business - Primary industry/industries: Robotics, Artificial Intelligence, Industrial Automation, Logistics & Warehousing - Target customers: B2B – manufacturing plants, warehouses, 3PLs, and large-scale industrial operations (Enterprise) - Mission or purpose statement: "To build fundamental AI technology to enable generally capable robot workers and partner with industry to deploy them" – solving the hardest problems in physical machine intelligence. ## Products & Services - **[Cassie](https://tutorintelligence.com/)**: A purpose-built robot for material handling – palletizing, depalletizing, and case picking. Deployed in days, handles unlimited SKUs, works 24/7 with a simple tablet interface. Pricing starts at $14/hour per robot or per-pick models. - **[Sonny](https://tutorintelligence.com/)**: A humanoid robot designed for the "messy middle" of manual labor – complex assembly, irregular tasks. Industrial-grade hardware, trained on internet-scale data. Available for deployment starting late 2026. - **Platform & Fleet Management**: Full B2B logistics workflow automation (replen to picking to palletizing) with per-pick pricing, remote 24/7 support, and continuous AI improvements. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $78.7M (latest round: $40.5M venture round in June 2025; Series A $34M in December 2025 led by Union Square Ventures and Fundomo) - **Notable Investors/Partners**: Union Square Ventures, Fundomo; partners with world’s largest 3PLs and brands (deployed in dozens of factories and warehouses) - **Growth Signals**: Headcount grew 278.8% YoY to 69 employees (as of early 2026); 38 active job postings; monthly job postings up 40.7%; expanding into humanoid robotics with Sonny; offices across US, India, Canada, Portugal, South Africa. ## Competitive Advantages - **Deployment speed**: Robots are operational "in days" without changes to existing infrastructure – reads pallet specs like human workers. - **Flexible pricing**: Per-hour ($14/hr) or per-pick models with no contract lock-in, lowering cost of fulfillment by 20%+. - **AI-first approach**: Robots learn from human interaction in real environments, continuously improving via an intelligence platform. - **Proven real-world impact**: Already deployed across dozens of facilities for major brands, not just pilots. ## Strategic Focus - Scale deployments of Cassie across more warehouses and factories. - Launch Sonny humanoid robot in late 2026 for complex manual tasks. - Continue advancing physical AI research (founded out of MIT CSAIL) to expand robot capabilities into new industries. - Grow the fleet and per-pick pricing model to capture more of the B2B logistics workflow. ## Why Work Here - **Culture**: Fast-paced startup with deep roots in MIT CSAIL research – a blend of cutting-edge AI/robotics and real-world industrial impact. - **Work model**: On-site in Watertown, MA (employees work from physical offices). Offices also in India, Canada, Portugal, South Africa. - **Growth**: 278% YoY headcount growth, 38 open roles across engineering, research, sales, and operations – strong upward mobility. - **Roles**: Robotics engineers, perception engineers, full-stack developers, research scientists, field technicians, account executives, and more. - **Perks**: Not explicitly listed, but emphasis on 24/7 remote support, always-on AI improvements, and no contract lock-in suggests a team that values reliability and customer success. - **Engineering culture**: Focus on solving hardest problems in machine intelligence; teams work at the edge of AI, robotics, and operations. ## Sources 1. [tutorintelligence.com](https://tutorintelligence.com/) 2. [tutorintelligence.com/about](https://tutorintelligence.com/about) 3. [LinkedIn Company Page](https://www.linkedin.com/company/tutorintelligence) 4. [Built In Boston – Tutor Intelligence](https://www.builtinboston.com/company/tutor-intelligence) ## Other roles at Tutor Intelligence - [Senior Technical Program Manager](https://feeny.ai/job/senior-technical-program-manager-tutor-intelligence-watertown-t2swmzs4h0ge) — Watertown, MA - [Patent Agent / Patent Engineer (Robotics)](https://feeny.ai/job/patent-agent-patent-engineer-robotics-tutor-intelligence-watertown-v4h2rw0x27y0) — Watertown, MA - [Production Engineer (Electrical Test) — Robotics](https://feeny.ai/job/production-engineer-electrical-test-robotics-tutor-intelligence-watertown-7ay340904fkn) — Watertown, MA - [Mechanical Engineer (Robotics)](https://feeny.ai/job/mechanical-engineer-robotics-tutor-intelligence-watertown-kyckj63m406w) — Watertown, MA - [Product Manager -- Robotics](https://feeny.ai/job/product-manager-robotics-tutor-intelligence-watertown-pmjyz533rp3e) — Watertown, MA - [Technical Product Manager](https://feeny.ai/job/technical-product-manager-tutor-intelligence-watertown-hr52zz5t320g) — Watertown, MA - [Product Manager (Cassie)](https://feeny.ai/job/product-manager-cassie-tutor-intelligence-boston-tfm69b9eeqt4) — Boston, MA - [Strategic Accounts Development Manager](https://feeny.ai/job/strategic-accounts-development-manager-tutor-intelligence-boston-yenk20n7rppq) — Boston, MA - [Robotics Deployment Manager](https://feeny.ai/job/robotics-deployment-manager-tutor-intelligence-watertown-j1rsdaztt5j7) — Watertown, MA - [Robotics Product Marketing Lead](https://feeny.ai/job/robotics-product-marketing-lead-tutor-intelligence-watertown-8k9wwt4s5xz3) — Watertown, MA