Machine Learning Engineer - Mountain View, CA, United States - Wayve Technologies Ltd

Description

Wayve is at the cutting edge of embodied intelligence, developing advanced AI with end-to-end deep learning to navigate the complexities of diverse environments.

Our innovative strategy integrates the latest in machine learning, sidestepping conventional methods, to understand and adapt to urban landscapes like never before.

We're dedicated to solving one of the most formidable challenges of our time, gathering a diverse team of exceptional minds driven not just by the work but by the opportunity to leave a profound impact on the world through innovative technology.

Our team is seeking a talented Software Engineer to propel our ambitious research forward.

we're a dynamic blend of Applied Scientists, Machine Learning Engineers, and Software Engineers united together to apply state of the art research to the road.

From pioneering advancements in Offline Reinforcement Learning (RL) and Reward Learning from Human Feedback (RLHF) to developing groundbreaking, large-scale, embodied Foundation Models, our projects are designed to dramatically enhance our product's capabilities.

We believe in the power of cross-functional collaboration, rigor in engineering, and a relentless pursuit to innovate.

Collaborate with Applied Scientists and Machine Learning Engineers on advanced, multimodal, embodied Foundation Models, enhancing your Machine Learning Engineering (MLE) skills.

Develop and manage comprehensive datasets and data engineering pipelines, supporting complex research initiatives.
Drive observability, monitoring, and performance optimizations to elevate system reliability and performance.
Work seamlessly with platform teams, facilitating integration and leveraging shared resources for broader impact.
You prioritize code quality, readability, and reusability, understanding that these qualities are key to long-term success.
~ You excel in ambiguous, fast-paced environments, adept at navigating and thriving amidst change.
~ You have experience with MLOps or ML Infrastructure, reflecting your ability to streamline machine learning workflows.
~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.
~ Proven track record of working in teams to successfully deliver open-ended projects.
~ Relocation support with visa sponsorship
Flexible working hours - we trust you to do your job well, at times that suit you and your team
Private on-site chef, in-house bar, lots of socials, and more

We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.