Senior Data Engineer, Wayve

• 4+ years professional experience within Data Engineering
• Proficiency in Python
• Knowledge of software engineering practices - what makes code reusable and extensible
• Experience working closely with users, shaping data to fit their needs
• Experience working with concurrent, parallel and distributed computing
• Experience building reliable data pipelines to handle large data sets
• Experience working with data processing technologies such as Databricks / Apache Spark, Apache Beam, Airflow or Flyte

Desirable

• We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles
• We’re a growing start-up, building our first cohort of engineers and you can be at the heart of this
• This makes this role an exciting opportunity to be at the heart of Wayve, with an opportunity to directly influence performance of self-driving algorithms
• We are looking for Data Engineers to work on data ingestion, labelling, storage, curation and analysis for the Wayve Foundation Model team
• Dataset collection, ingestion, annotation and validation of multi-modal datasets
• Post-processing of diverse datasets for training and evaluation
• Data quality for pre/post training recipes
• You will be working across functions with machine learning research engineers, virtual world simulation engineers, robotics engineers and safety drivers to ingest, enrich and visualise thousands of hours of driving data
• You will have opportunities to develop new skills in data science, big data, analytics and data visualisation
• Examples Projects:
• Filtration of high quality datasets
• Labelling, enrichment and augmentation of data at scale using thousands of GPUs simultaneously. dration of data processing and machine learning workloads by building out infrastructure for running Flyte and notebook environments (e.g. Google collab) at scale