LabyrinthAI
Machine Learning Software Engineer or Researcher
LabyrinthAI, Boston, Massachusetts, us, 02298
Machine Learning Software Engineer or Researcher
This range is provided by LabyrinthAI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $100,000.00/yr - $200,000.00/yr
Additional compensation types Stock options
Direct message the job poster from LabyrinthAI
Machine Learning Engineer/Researcher (Founding Role) Full-time
US citizen/visa only
1+ years experience
About Us 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 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.
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 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 from R&D through production
Deeply passionate about the latest in AI and robotics
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
Requirements
Experience applying AI/ML to robots (e.g. VLA’s, IL, RL) with hands-on robot experience
MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
Can work in-person in Boston, MA without visa sponsorship
Bonus Points
Familiarity with sensors, manufacturing, and industrial automation
Prior work on real-time ML inference, Sim2Real, VR/AR
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.
Please do not apply unless you meet the Requirements above.
We are unable to sponsor visas at this time.
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Base pay range $100,000.00/yr - $200,000.00/yr
Additional compensation types Stock options
Direct message the job poster from LabyrinthAI
Machine Learning Engineer/Researcher (Founding Role) Full-time
US citizen/visa only
1+ years experience
About Us 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 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.
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 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 from R&D through production
Deeply passionate about the latest in AI and robotics
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
Requirements
Experience applying AI/ML to robots (e.g. VLA’s, IL, RL) with hands-on robot experience
MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
Can work in-person in Boston, MA without visa sponsorship
Bonus Points
Familiarity with sensors, manufacturing, and industrial automation
Prior work on real-time ML inference, Sim2Real, VR/AR
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.
Please do not apply unless you meet the Requirements above.
We are unable to sponsor visas at this time.
#J-18808-Ljbffr