Embodied AI ML Engineer — Data Curation & Foundation Models

Wayve; Sunnyvale (CA); Hybrid; USD 311,850 - 370,000; Full time

Benefits offered by this job

Competitive equity package

Hybrid working policy

Inclusive culture

Job summary

Wayve is seeking an experienced professional for a dual-track role as an Applied Scientist or Machine Learning Engineer based in Sunnyvale, California. This position focuses on enhancing foundation models through effective data curation and enrichment processes.

The role involves working on critical data events, building datasets for training, and developing rigorous evaluation metrics to ensure safety and performance in autonomous driving. A hybrid work model supports innovation and collaboration.

Qualifications

• A Masters with around 6+ years of relevant experience, or a PhD with 2+ years.
• Strong ML and software fundamentals with a track record in production systems.
• Experience with large-scale data and neural networks.

Responsibilities

• Mine world-scale fleet data for critical events.
• Build high-quality enrichments for data quality at scale.
• Design metrics and benchmarks for evaluation.

Skills

Data curation

Foundation-model training

Large-scale data wrangling

Fluency in Python

Experience with deep-learning frameworks

Education

Masters in Computer Science or related field

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Wayve is seeking an experienced professional for a dual-track role as an Applied Scientist or Machine Learning Engineer based in Sunnyvale, California. This position focuses on enhancing foundation models through effective data curation and enrichment processes.

The role involves working on critical data events, building datasets for training, and developing rigorous evaluation metrics to ensure safety and performance in autonomous driving. A hybrid work model supports innovation and collaboration.