Manager, Data Ingest & Analysis (Model Dev Platform) at Wayve

London, England, United Kingdom

Wayve Logo
$150,000 – $225,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Autonomous Vehicles, SoftwareIndustries

Skills

Key technologies and capabilities for this role

Data IngestionData AnalysisMultimodal DataDriving DataModel DevelopmentLeadershipTeam Management

Questions & Answers

Common questions about this position

What is the salary for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Engineering Manager role?

The role requires experience leading data and platform engineers, managing large-scale Spark-based map-reduce data processing pipelines, and overseeing large-scale transcoding and processing workflows.

What is the company culture like at Wayve?

Wayve fosters a diverse, fair, and respectful culture that values unique skills and perspectives, embraces uncertainty and complex challenges, and supports an inclusive work environment where contributions matter and team members back each other.

What makes a strong candidate for this Engineering Manager position?

Strong candidates will have experience building and leading teams of data and platform engineers, defining roadmaps with stakeholders, and expertise in petabyte-scale data processing with Spark.

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.

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