Conduct research to integrate state-of-the-art ML components into our auto-labeling pipeline, enhancing its efficiency and accuracy.
Prepare and manage datasets to support data-driven model development and validation.
Engage in daily collaboration with a ML Engineer, receiving mentorship and guidance while working on project tasks.
Gain hands-on experience with production-level data and real-world applications, enhancing your practical skills in a professional setting.
Summarize key findings and insights in a comprehensive final report, highlighting project outcomes and providing actionable recommendations.

Requirements

Currently pursuing a Masters or a PhD degree in Computer Science, Computer Engineering, Computer Systems, Data Science, or similar discipline
Proven ability to develop ML models for image, video, 3D or 4D data processing and/or generation (must be supported by school projects and/or publications)
Strong programming skills in Python and ML development with PyTorch
Good written and verbal communication skills
Passionate about self driving car technology and its potential for humanity.
Experience developing ML models for autonomous driving or ADAS (optional)
Experience developing Perception algorithms for autonomous driving or ADAS (optional)
Publications in top tier CV, ML or robotics conferences or journals (optional)

Benefits

We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningML modelsdata processingPythonPyTorchdataset managementauto-labeling pipelinePerception algorithmsautonomous drivingADAS

communication skillscollaborationmentorshipresearchreport writingproblem-solvingpassion for technology

Masters degreePhD degree