Data Enthusiast - Internship

This job opportunity at Torc involves contributing to the development and improvement of their scenario identification pipeline for autonomous vehicle testing. The role requires running the pipeline, annotating real-world drive data, comparing results, identifying issues, and developing new test cases. The company is seeking a full-time student with advanced IT and programming skills, experience in data science and signal processing, and strong analytic abilities. This position offers an opportunity to gain valuable experience and potentially transition into a full-time role at Torc.

• Help create a comprehensive understanding of real-world traffic for scenario-based testing
• Run the scenario identification pipeline and derive results
• Annotate real-world drive data
• Compare human annotated data to pipeline results
• Identify issues and improve the pipeline
• Develop new test cases to assure the quality of the pipeline
• Further develop scenarios
• Derive statistics from real-world drive data
• Hone skills and gain experience through Torc internships
• Pursue an undergraduate or graduate degree in computer science, natural sciences, engineering, or related field
• Possess advanced IT and programming skills
• Have experience in data science and signal processing
• Strong analytic skills
• Enthusiasm to take on new challenges and learn new skills

• Full-time student pursuing an undergraduate or graduate degree in computer science, natural sciences, engineering or related field
• Advanced IT and programming skills
• Experience in data science and signal processing
• Strong analytic skills
• Enthusiasm to take on new challenges and learn new skills

• Full-time student pursuing an undergraduate or graduate degree in computerscience, natural sciences, engineering or related field
• Advanced IT and programming skills
• Experience in data science and signal processing
• Strong analytic skills
• Enthusiasm to take on new challenges and learn new skills
• Willingness to work in an international team
• Remote work is possible
• Proficiency in Python (especially in libraries such as Pandas and Numpy)
• Experience in scenario based testing, traffic simulation, optimization and software-in-the-loop (SIL) simulation
• Commitment to building a diverse and inclusive workplace
• Equal opportunity for all applicants, regardless of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, or disabilities
• Encouragement to apply even if not meeting all qualifications