1 day ago

Tech Lead, Autonomy Systems

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Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Train machine learning models for robotic navigation, manipulation, and locomotion, and build scalable training infrastructure to improve sample efficiency and generalization. Collaborate with a data collection team to enhance data efficiency and evaluation, work with software engineering to ensure robotics stack calibration/timing correctness, and speed up data loading. Develop data inspection tools for better model interpretability and interview candidates for the AI team.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Train machine learning models for robotic navigation, manipulation, and locomotion.
•Implement infrastructure to scale data engine training for more data and compute.
•Develop algorithmic improvements to increase sample efficiency and generalization capability.
•Partner with data collection and software teams to improve evaluation processes and robotics stack calibration/timing correctness.
•Speed up the data loader and build data inspection tools to interpret AI models; interview candidates for the AI team.

Travel: Medium travel

Pay and Benefits

Salary: USD 199,763 - 350,000 annually

Equity and Bonus:Equity

Key Requirements

•Master’s degree (or foreign degree equivalent) in Computer Science or a related field.
•Three (3) years of experience in the job offered or a related role.
•Experience writing software to control robots for inverse kinematics, control regimes, camera calibration, and linear algebra.
•Experience training neural networks for humanoid robots, including machine learning for automation tasks.
•Experience writing Python and working with GPU programming, computer vision, and deep learning.

Experience:3+ yearsRoboticsHumanoid robotsMachine learningComputer visionArtificial intelligence

Education:Master's in Computer Science or equivalent or related field

Tech Stack:PythonGPU programmingComputer VisionDeep LearningNatural Language ProcessingLinear AlgebraInverse kinematics

Company Brief

Develops humanoid robots and embodied AI systems designed to perform useful work in real-world environments. The company focuses on building general-purpose robotic labor for tasks in industries such as logistics, manufacturing, and security.

Industry: Robotics

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Moss, Norway

Founded: 2014

Website LinkedIn

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