Data Engineer (Perception)

Key Skills

AWS, Azure, Cloud computing, Debugging, Design, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, Software Development, TensorFlow

Job Description

Who are we?

Based in Oxford and with offices in Canada and the US, Oxbotica is an international startup founded in 2014 and scaling up rapidly (300+ Oxbots and growing).

As the global leader in our industry, we’re fuelled by a bold purpose: to make the Earth move better. From passenger shuttles to industrial vehicles, our operating system for Universal Autonomy™ is transforming the way people and goods are transported by enabling any vehicle, in any environment, to operate autonomously — safely, securely and efficiently.

Our technology is capturing investors’ imagination. To date we’ve raised $140 million in our Series C investment round. Accommodating growing demand from new and current shareholders, this funding is driving our expansion in North America and EMEA, and accelerating the deployment of our technology in domains where there is both urgent need and potential to scale.

Your Team

You will join our Data team, where we create Oxa's datasets that are used to train and validate our perception tools. Your team also develops scalable infrastructures for data generation and management.

Your Role

• Create and update existing pipelines for synthetic data generation and scenario expansion
• Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management
• Collaborate with ML and robotics engineers to develop scalable and reliable perception solutions.
• Generate and maintain high quality datasets for training and validation of the classical and machine learning based perception systems using Oxa's internal tools

Who You'll Work With

• You'll closely work with ML and robotics engineers in scaling our data capabilities, developing validation pipelines and metrics estimation
• Collaboratively with the Data Team, you will create and update existing pipelines for synthetic data generation and scenario expansion

Requirements

What You Need To Succeed:

• A degree (preferably Master/PhD) in Engineering with expertise in software development or Machine Learning
• Python proficiency with experience in handling large scale datasets
• Experience in managing large datasets on scalable infrastructure.
• Proficiency in developing, designing and debugging Python code.
• Good knowledge about classical and ML based feature/representation learning, data augmentation and data synthesis techniques
• Basic experience in ML frameworks like PyTorch or TensorFlow.

Extra Kudos:

• Authored or co-authored research papers on modern perception systems
• Experience in developing and managing cloud (GCP, AWS, Azure) tools

The Candidate Journey: Multi-Step and Two-Way

No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we’re a good fit for the other. If the fit is good and you’re selected, you’re then in a position to do great work and thrive,

Benefits

Compensation and Benefits

We provide:

• Competitive salary, benchmarked against the market and reviewed annually
• Company share programme
• 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
• Funded relocation support.