MLE - AI Synthesis at Wayve

Sunnyvale, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates should have experience in modeling, ML Ops, and ML infrastructure, with strong engineering fundamentals and experience working with visual data. A rigorous approach to ML Ops practices including model versioning, reproducibility, evaluation, and observability is valued. Experience with cutting-edge architectures, generative models for video or view synthesis, and building scalable pipelines for inference and evaluation of large generative models on real and synthetic visual data is required.

Responsibilities

The Machine Learning Engineer will collaborate with researchers to productionize cutting-edge architectures and adapt experimental models for performance and integration. They will train and improve generative models to produce realistic and controllable multimodal sensor data for evaluating the autonomous driving system. Responsibilities include building scalable pipelines for inference and evaluation, applying ML Ops best practices for production reliability, and developing tools to monitor, measure, and improve model quality and generation throughput.

Skills

Machine Learning

Model Development

Data Platform

Synthetic Data

Video

Multimodal

Software Engineering

Tooling

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees