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Machine Learning Data Scientist
4 months ago
Your Role
Our Data Scientists role is to optimise the deployment of a suite of data collection vehicles, developing novel ways to collect the most varied datasets, such as using automated route planning. You will be at the forefront of automating data curation pipelines using the latest machine learning techniques and optimising the use of manual labelling. Continually researching state-of-the-art data representations with self-supervised learning to explore and understand large datasets at scale and building certifiable dataset benchmarks which robustly prove different components of the autonomous technology stack.
Your Responsibilities
Vehicle Data Collection Improvements: Investigate ways of improving data capture within the vehicle. collecting voice recordings from the driver, collecting additional metadata and onboard processing of data to provide automated instructions to the driver. Vehicle Logistics: Ensure that there is a clear plan for where and when the vehicles should drive and collect data. Organisation of drivers, GCA copying etc. Ensure adherence to regulations etc. Automated Data Labelling: Building automated data labelling pipelines to provide richest possible data labels which are ready for training. Data Representation Learning: Researching the best representations of data to enable search, cleaning benchmark creation and data gap analysis. Data Cleaning: Automatically clean data of any unwanted anomalies, understanding the cause of these anomalies and correcting the data collection process if needed. Data Search: Enable searching of data to allow teams to easily find the data they need to solve a task. Hard example mining. Data Gap Analysis: Automate the discovery of features and events that we have limited or no examples of. Develop methods for discovering the most efficient options for collecting new data to fill the identified gaps. Data Benchmark Creation: Create robust benchmarks that test the capability of various algorithms. Different benchmarks will be needed to test different techniques and scenarios. Offline Assurance and Benchmark Evaluation Tools: Develop software that enables standardisation of how we report performance of techniques on the various benchmarks. Contributing to high-quality, written, technical reports and visual media which represent progress and accomplishments in the company data agendaRequirements
What you need to succeed
Software development skills in Python A deep understanding of state-of-the-art Deep Learning theory and techniques A deep understanding of datasets and what makes good and bad data benchmarks for machine learning. Machine Learning skills for experimentation, model development, dataset exploration & cleaning An ability to understand both technical and commercial requirements. An appetite to get practical, you can only collect good data if you understand the full process, so expect to get stuck into the actual data collection, fixing issues on vehicles, working closely with drivers and perhaps doing some driving yourself.Extra Kudos if you have
Familiarity with cloud platforms, preferably Google Cloud Platform (GCP) Exposure to Machine Learning Ops (MLOps) Development of self-supervised foundation models Experience developing automated or efficient manual labelling pipelines Experience working with lidar and multi-camera data Hands on experience in data collection efforts in other companies Experience with certification of machine learning algorithms Programming skills in C++ An understanding of the what data is needed across the company and for our partners Practical experience with roboticsBenefits
We provide:
Competitive salary, benchmarked against the market and reviewed annually Hybrid and/or flexible work arrangements An outstanding £3,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection A salary exchange pension plan 25 days’ annual leave plus bank holidays A pet-friendly office environment Safe assigned spaces for team members with individual and diverse needs