Were looking for a talented Data Scientist to join our Visual Language Action (VLA) validation team. In this role, youll take part in designing and implementing innovative validation systems for Visual LLM-based modules that power next-generation autonomous driving technology. This is a unique opportunity to combine coding, research, and large-scale data analysis in a fast-growing, cutting-edge field.
What will your job look like:
Define problem statements, create and refine prompts in collaboration with internal customers.
Develop and implement QA and validation systems, including designing and building large-scale validation infrastructure and data pipelines for VLA-based autonomous driving solutions.
Run and evaluate LLM-based systems developed by other team members, including performance measurement and analysis.
Work with large-scale data and cloud-based infrastructures to support evaluation pipelines.
Collaborate closely with algorithm developers, researchers, and system engineers in a dynamic environment.
What will your job look like:
Define problem statements, create and refine prompts in collaboration with internal customers.
Develop and implement QA and validation systems, including designing and building large-scale validation infrastructure and data pipelines for VLA-based autonomous driving solutions.
Run and evaluate LLM-based systems developed by other team members, including performance measurement and analysis.
Work with large-scale data and cloud-based infrastructures to support evaluation pipelines.
Collaborate closely with algorithm developers, researchers, and system engineers in a dynamic environment.
Requirements:
M.Sc. in Engineering, Computational Biology, Brain Science, Applied Maths, Statistics or a related field.
Research experience involving data analysis and ML model evaluation.
Hands-on programming experience in Python.
Solid background in statistics – advantage.
Experience with LLM validation processes – advantage.
Experience working with Big Data or cloud environments – advantage.
Familiarity with LLMs – advantage.
M.Sc. in Engineering, Computational Biology, Brain Science, Applied Maths, Statistics or a related field.
Research experience involving data analysis and ML model evaluation.
Hands-on programming experience in Python.
Solid background in statistics – advantage.
Experience with LLM validation processes – advantage.
Experience working with Big Data or cloud environments – advantage.
Familiarity with LLMs – advantage.
This position is open to all candidates.
