LabyrinthAI
Machine Learning Software Engineer or Researcher
LabyrinthAI, Boston, Massachusetts, us, 02298
Overview
LabyrinthAI is an early-stage robotics and AI startup on a mission to make it dramatically easier for companies to build and apply AI models to robots. We focus on robotic manipulation with a mission to provide engineers with the tools to seamlessly integrate AI into robots, drastically reducing the cost and complexity of robot programming and deployment compared to traditional methods. We’re now looking for a hands-on, entrepreneurial
Machine Learning Engineer or Researcher in a Founding Role
to help drive the development of our AI-driven robotics platform. We’re especially excited to meet candidates with strong software engineering and AI/ML expertise who are passionate about robotics and eager to turn cutting-edge research into real-world products. What You’ll Do
Train VLA (vision-language-action) models for manipulation tasks on our robots using simulation and real-robot datasets Build pipelines to collect and curate data for real world robot deployments Design and implement algorithms that apply AI to complex, real-world robotics tasks Build robust, scalable systems that connect foundational models to physical-world execution Keep up with cutting edge research on robot learning (VLA’s, Imitation Learning, RL etc.) and evaluate them to improve our stack Optimize AI models for large scale training and low-latency edge inference on real world robots Integrate trained AI models with our robots Who You Are
Experienced with model training, deployment, and maintenance in a production environment Strong skills in gen-AI models and ML, software programming, deep learning and related tools (e.g. Python, Pytorch, Tensorflow, Isaac Sim etc.) Industry or academic experience with robotic manipulation, automation systems, or controls; experience working cross-functionally on robotics projects Startup mindset - adaptable and comfortable with ambiguity, rapid iteration, and wearing many hats in a fast paced environment Deep knowledge of VLA’s, diffusion models, and cutting-edge techniques in AI Experience with data collection, data pipelines, and complex system architectures for real-world applications You know how to deploy high-quality production code as a part of a software team and care deeply about good engineering You thrive in a high-autonomy, fast paced environment. You take ownership and don’t need to be micromanaged on what the top priorities are at any given moment. You’re hungry to make a huge impact and for personal growth, and like to have fun You enjoy getting your hands dirty across the whole stack ML stack from R&D through production Deeply passionate about the latest in AI and robotics Bonus Points
Experience applying ML to robotics, with hands-on robot experience Prior work on real-time ML inference, sim-to-real transfer, or imitation learning MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Familiarity with sensors, manufacturing, and industrial automation Prior experience in early-stage startups, and/or managing engineering teams Who Should Apply
We welcome candidates from a range of backgrounds, including experienced robotics engineers, software engineers, and robotics researchers looking to transition into startups. Don’t meet 100% of the requirements? Reach out anyway and tell us why you’re excited. We are unable to sponsor visas at this time. Details
Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology
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LabyrinthAI is an early-stage robotics and AI startup on a mission to make it dramatically easier for companies to build and apply AI models to robots. We focus on robotic manipulation with a mission to provide engineers with the tools to seamlessly integrate AI into robots, drastically reducing the cost and complexity of robot programming and deployment compared to traditional methods. We’re now looking for a hands-on, entrepreneurial
Machine Learning Engineer or Researcher in a Founding Role
to help drive the development of our AI-driven robotics platform. We’re especially excited to meet candidates with strong software engineering and AI/ML expertise who are passionate about robotics and eager to turn cutting-edge research into real-world products. What You’ll Do
Train VLA (vision-language-action) models for manipulation tasks on our robots using simulation and real-robot datasets Build pipelines to collect and curate data for real world robot deployments Design and implement algorithms that apply AI to complex, real-world robotics tasks Build robust, scalable systems that connect foundational models to physical-world execution Keep up with cutting edge research on robot learning (VLA’s, Imitation Learning, RL etc.) and evaluate them to improve our stack Optimize AI models for large scale training and low-latency edge inference on real world robots Integrate trained AI models with our robots Who You Are
Experienced with model training, deployment, and maintenance in a production environment Strong skills in gen-AI models and ML, software programming, deep learning and related tools (e.g. Python, Pytorch, Tensorflow, Isaac Sim etc.) Industry or academic experience with robotic manipulation, automation systems, or controls; experience working cross-functionally on robotics projects Startup mindset - adaptable and comfortable with ambiguity, rapid iteration, and wearing many hats in a fast paced environment Deep knowledge of VLA’s, diffusion models, and cutting-edge techniques in AI Experience with data collection, data pipelines, and complex system architectures for real-world applications You know how to deploy high-quality production code as a part of a software team and care deeply about good engineering You thrive in a high-autonomy, fast paced environment. You take ownership and don’t need to be micromanaged on what the top priorities are at any given moment. You’re hungry to make a huge impact and for personal growth, and like to have fun You enjoy getting your hands dirty across the whole stack ML stack from R&D through production Deeply passionate about the latest in AI and robotics Bonus Points
Experience applying ML to robotics, with hands-on robot experience Prior work on real-time ML inference, sim-to-real transfer, or imitation learning MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Familiarity with sensors, manufacturing, and industrial automation Prior experience in early-stage startups, and/or managing engineering teams Who Should Apply
We welcome candidates from a range of backgrounds, including experienced robotics engineers, software engineers, and robotics researchers looking to transition into startups. Don’t meet 100% of the requirements? Reach out anyway and tell us why you’re excited. We are unable to sponsor visas at this time. Details
Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology
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