Data Scientist: Adverse Weather Adaption

Tensor is an American Physical AI company dedicated to building agentic products that empower people. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.

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The weather team works cross-functionally to develop technologies that ensure safe autonomous driving in all weather conditions. We're seeking skilled data scientists to help us overcome the challenges of adverse weather.

Locations

• San Jose, California, US (Salary Range: $75k—$300k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities

• Develop data driven tools to analyze and utilize weather data, particularly focusing on adverse weather scenarios.
• Define and evaluate metrics of autonomous driving performance under different weather conditions.
• Enhance machine learning model performance within the defined Operational Design Domain (ODD) to ensure the safe operation of autonomous vehicles in adverse weather conditions.
• Collaborate with engineers from sensor fusion, perception, and simulation teams to implement and enforce restricted weather Operational Design Domains (ODDs).

Qualifications

• Master’s or PhD in data science, machine learning, computer science, applied mathematics, or a related field.
• Experience with developing and implementing machine learning models for predictive analysis, pattern recognition, and decision making under uncertainty.
• Proficiency in programming languages such as Python, and experience with machine learning frameworks.
• Proficiency in SQL and working with large-scale data.
• Excellent communication, analytical thinking and problem-solving skills.

Preferences

• Experience with autonomous vehicle technology or robotics.
• Experience with machine learning based data analysis.
• Experience working with weather data or climate models is a plus.

We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.