Head of Model Dev Platform at Wayve

Sunnyvale, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Autonomous VehiclesIndustries

Requirements

The Head of Model Dev Platform should possess a strong understanding of distributed systems, cloud computing, and large-scale data processing, with experience in building and scaling infrastructure for AI/ML workloads. Candidates should have a proven track record in leading technical teams and defining strategic roadmaps, and a deep understanding of compute orchestration and petabyte-scale data pipelines is essential.

Responsibilities

This role involves defining and executing the long-term strategy for the Model Development Platform, delivering a unified experiment workflow through a web console and API, optimizing compute resource allocation, managing petabyte-scale data processing pipelines, establishing reproducible model training workflows, ensuring platform reliability and observability, and fostering collaboration with cross-functional teams to accelerate model iteration and unlock autonomous driving capabilities.

Skills

Model Development

Data Ingestion

Experiment Execution

Results Analytics

Autonomous Driving

Infrastructure Architecture

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

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

Land your dream remote job 3x faster with AI

Try Jobo Free