
Plus One Robotics is a leading provider of AI-powered vision solutions for warehouse automation, specializing in robotic and automated material handling systems such as induction, depalletizing, and palletizing. Founded in 2016 by experts in computer vision and robotics, the company offers products like DepalOne, InductOne, PickOne, and Yonder, which combine AI, computer vision, and supervised autonomy to automate repetitive and high-risk warehouse tasks. Their technology has executed over 1.5 billion picks across 15 countries, delivering unmatched speed and accuracy. Plus One Robotics supports logistics and e-commerce companies, including Global 100 clients, with scalable, reliable, and safe automation solutions that enhance productivity and operational safety in fulfillment centers worldwide.

Plus One Robotics is a leading provider of AI-powered vision solutions for warehouse automation, specializing in robotic and automated material handling systems such as induction, depalletizing, and palletizing. Founded in 2016 by experts in computer vision and robotics, the company offers products like DepalOne, InductOne, PickOne, and Yonder, which combine AI, computer vision, and supervised autonomy to automate repetitive and high-risk warehouse tasks. Their technology has executed over 1.5 billion picks across 15 countries, delivering unmatched speed and accuracy. Plus One Robotics supports logistics and e-commerce companies, including Global 100 clients, with scalable, reliable, and safe automation solutions that enhance productivity and operational safety in fulfillment centers worldwide.
What they do: AI-powered 3D vision and supervised-autonomy software for warehouse robotics (induction, palletizing, depalletizing, parcel handling)
Founded: 2016 (San Antonio)
Products: PickOne, Yonder, InductOne, DepalOne
Scale: Reported >1.5 billion picks across ~15 countries
Funding: Multiple rounds including $33M Series B (2021) and $50M Series C (2023); total funding reported ≈ $94M–$97M
Warehouse automation, robotic material handling, parcel induction and pallet/depallet operations.
2016
Transportation, Logistics, Supply Chain and Storage
33000000
50000000
“Includes institutional VC investors such as Scale Venture Partners, McRock Capital, TransLink/TransLink Ventures, BMW i Ventures, Lerer Hippeau, Pritzker Group Venture Capital, Zebra Ventures and others”
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As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients.
Essential functions:
Required Education, Experience, and Qualifications:
Preferred Education and Experience:
Position Type/Expected Hours of Work
Full-Time 40/hours per week M-F, 9:00am-6:00pm.
Travel
Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments.
Work Authorization
Must be able to provide documentation that shows authorization to legally work in the U.S.
Pay and Benefits:
The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position.
Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program.
This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location.