Staff Machine Learning Engineer
AngiFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include experience with machine learning, search, discrete and continuous optimization techniques, understanding of reinforcement learning principles, familiarity with task and motion planning algorithms, strong software system design sensibilities, and ability to build high-quality, maintainable, and performant software.
Dexterity believes robots can positively transform the world by handling repetitive and physically difficult work, freeing humans for creative tasks, with a focus on warehouse automation and resilient supply chains. The role involves close collaboration with data platform, physics simulation, and robot operations teams.
Strong candidates will have experience in machine learning, optimization, reinforcement learning, and task/motion planning, along with strong software design skills to build high-quality systems for robot planning and multimodal sensor data.
AI-powered robotic solutions for logistics
Dexterity.ai develops AI-powered robotic technology aimed at improving logistics and supply chain management, particularly in trailer loading. Their robots autonomously pick and induct parcels into sorting systems at speeds faster than humans. A key feature of their technology is its ability to understand the environment in real-time without needing external data feeds or software integration, making it adaptable for various operations. Dexterity.ai serves a range of clients, from small businesses to large corporations like FedEx, focusing on enhancing operational efficiency, employee safety, and attracting talent through automation. They generate revenue by selling their robotic solutions and providing consultation services for technology integration, with the goal of transforming the logistics industry into a safer and more efficient environment.