Machine Learning Engineer for Embodied AI

2 weeks ago


Mountain View, Arkansas, United States Wayve Full time
About Wayve

Wayve is a pioneering company in the field of embodied intelligence, developing cutting-edge AI technology to navigate complex environments. Our innovative approach integrates the latest advancements in machine learning, enabling us to understand and adapt to diverse urban landscapes like never before.

Our Mission

We're dedicated to solving one of the most formidable challenges of our time: creating autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

The Role

We're seeking a talented Machine Learning Engineer to propel our ambitious research forward. As a key member of our team, you'll collaborate with Applied Scientists and Machine Learning Engineers on advanced, multimodal, embodied Foundation Models. Your expertise will enhance our product's capabilities, and you'll have the opportunity to work on pioneering advancements in Offline Reinforcement Learning (RL) and Reward Learning from Human Feedback (RLHF).

Responsibilities
  • Develop and manage comprehensive datasets and data engineering pipelines to support complex research initiatives.
  • Craft and refine tools for rapid exploration and detailed visualizations, pushing the boundaries of research efficiency.
  • Drive observability, monitoring, and performance optimizations to elevate system reliability and performance.
  • Create tools specifically designed to expedite solving research problems, showcasing your problem-solving capabilities.
  • Work seamlessly with platform teams, facilitating integration and leveraging shared resources for broader impact.
Requirements
  • 2+ years of experience with a BS or MS in Computer Science, Engineering, or related discipline, or equivalent experience.
  • Solid experience with Python or proficiency in a systems/backend programming language with the ability to quickly adapt to Python.
  • Demonstrated experience in system design, capable of architecting robust, scalable solutions.
  • Proven track record of working in teams to successfully deliver open-ended projects.
  • Ability to work cross-functionally, bridging gaps between teams to drive collective goals.
What We Offer

We value diversity, embrace new perspectives, and foster an inclusive work environment. Our hybrid working policy combines time together in our offices and workshops to fuel innovation, culture, relationships, and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.



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