# Applied Scientist / Machine Learning Engineer

**Company**: Wayve
**Location**: Sunnyvale, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $311,850 - $419,760
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://jobs.ashbyhq.com/wayve/f3f61d23-6149-4391-8caa-3b92d809338b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_164b99a1-275

## Description

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.

You will be part of Wayve's engineering teams, building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.

Your day-to-day responsibilities will include:

- Building scalable methods to discover rare, high-value, and safety-critical scenarios in fleet data.

- Using embeddings, active learning, similarity search, model-assisted mining, and smart sampling to improve dataset coverage.

- Designing pipelines for automated enrichment, labelling, deduplication, and data-quality monitoring.

- Running experiments to understand which data mixtures and curation strategies improve model performance.

- Collaborating with foundation-model, evaluation, simulation, and infrastructure teams to move ideas into production.

- Building benchmarks and slice analyses that expose model blind spots and guide the next data and modelling iteration.

You will be working on:

- Petabyte-scale real-world driving and simulation datasets.

- Data engines and retrieval systems using Python, SQL, Spark, embeddings, and multimodal models.

- Training-data strategy for embodied vision-language and driving models.

- Automated enrichment, active learning, and model-assisted labelling.

- Evaluation datasets that connect data decisions to real-world driving outcomes.

Requirements:

- Strong machine-learning and software-engineering fundamentals.

- Proficiency in Python and a modern deep-learning framework.

- Comfortable with SQL or large-scale data tools.

- Experience with data curation, foundation models, large-scale data wrangling, computer vision, or model evaluation.

- Ability to reason about sampling, class imbalance, label quality, dataset coverage, and experimental design.

Nice to have:

- Experience with autonomous driving, robotics, VLMs, active learning, similarity search, Spark, or distributed training.

Benefits:

- Salaries benchmarked against the market annually.

- Meaningful equity.

- Relocation support and visa sponsorship where applicable.

- Hybrid working and access to vehicle workshops and labs.

- Learning and development support.

- Comprehensive location-dependent health, family, retirement, and wellbeing benefits.

## Skills

### Required
- Python
- deep-learning framework
- SQL
- large-scale data tools
- data curation
- foundation models
- computer vision
- model evaluation

### Nice to have
- autonomous driving
- robotics
- VLMs
- active learning
- similarity search
- Spark
- distributed training

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/f3f61d23-6149-4391-8caa-3b92d809338b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)