Join Nuro as a Machine Learning Research Scientist in Active/Human Feedback Learning

Who We Are:

Nuro is pioneering the future of robotics and autonomous technology to elevate everyday life. Established in 2016, we are a prominent leader in autonomous capabilities, with our innovative vehicles currently operational in both California and Texas. The heart of our technology is the Nuro Driver, a sophisticated integration of AI-driven software and specially designed hardware. Our groundbreaking work includes partnerships with global brands like Uber and FedEx, focusing on autonomous goods delivery using our bespoke, electric, unmanned vehicles.

About This Role

As a Machine Learning Research Scientist on our Learned Behavior team, you will harness advanced machine learning techniques to propel our software advancements. This position involves crafting and implementing cutting-edge strategies in active learning, deep retrieval, and human-in-the-loop learning. Your work will be vital in refining our core ML models for prediction and planning, enhancing data utilization, and improving decision-making processes within real-world autonomous driving scenarios. If you are passionate about solving complex problems and developing practical applications that hit the road, we want you onboard!

Key Responsibilities:

• Developing active learning strategies to optimize our training data usage, boosting the robustness and adaptability of our core ML models.
• Applying deep retrieval techniques to manage diverse datasets and support various functions including model training and real-time decision-making.
• Executing human-in-the-loop learning methods to enhance the decision-making processes of our autonomous vehicles.
• Collaborating with teams to establish efficient ML data pipelines and workflows.
• Setting quality standards for data collection and labeling, ensuring the data's integrity.
• Deploying practical ML solutions directly to NuroDriver and monitoring their performance in real scenarios.

About You

You are ideally equipped with:

• Over a year of experience in machine learning with deep networks, handling large datasets.
• Expertise in areas such as Active Learning, Deep Retrieval, and Model Uncertainty, with a bonus for knowledge in robotics and autonomous driving ML.
• Strong programming skills in C++ and Python.
• Excellent problem-solving abilities, a fitting cultural addition, and teamwork skills.
• An advanced degree (M.Sc. or Ph.D.) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
• A track record of research publications in renowned conferences is a plus.

What We Offer:

At Nuro, the starting salary for this role is typically between $167,200 and $250,800/year based on a variety of factors, including but not limited to experience and qualifications. This position is also eligible for additional performance bonuses, equity, and a comprehensive benefits package. We are dedicated to a diverse workplace where inclusivity and psychological safety are prioritized for all team members.

Commitment to Diversity:

Nuro is proud to be an equal opportunity workplace, committed to fostering a diverse environment where everyone is welcomed, valued, and supported. We prohibit discrimination of any kind and uphold equality in all practices.

Join Us!

If you’re ready to play a pivotal role in autonomous technology with Nuro, apply today to become a Machine Learning Research Scientist. Let's drive the future together!