ML Application Engineer - Robotics

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Are you interested in driving adoption of AI in Robotics applications? Do you understand the challenges faced by the Machine Learning community?

We are looking for an experienced Machine Learning Engineer with domain specialism in Robotics workloads to guide Arm's IP and tooling roadmaps on edge platforms. You will be part of a growing team investigating emerging use-cases for edge AI, including large models and workloads not usually found in edge devices today.

Position is based in Cambridge, UK.

Job Overview

As a senior member of the team you will generate analysis of the Machine Learning environment for Robotics applications. You will produce data-led analysis and conclusions covering model suitability, data and accuracy challenges, model compression techniques and ML tooling usability.

Responsibilities

  • Research latest model development trends in Robotics, replicating results and verifying performance capabilities
  • Evaluate latest training time model compression techniques and analyse the effectiveness of ML tooling as applied to Robotics
  • Research dataset availability challenges and work with ecosystem partners to enable access to a wide range of data scenarios
  • Communicate reliable, robust research and analytics to inform future engineering and technology requirements, across a diverse audience within Arm
  • Helping to grow the team and train others

Required Skills and Experience

  • University degree (or equivalent) in Computer Science, Engineering or scientific discipline
  • Experience in training AI models for Robotics workloads
  • Experience in training time model compression techniques such as quantisation aware training, model pruning or model distillation
  • Software development inside a machine learning training environment using Python
  • Knowledge of underlying DNN structures such as CNN, LSTM, Self Attention
  • Good interpersonal skills and confidence explaining complex results to non technical audiences
  • Experience in coaching or mentoring others

Nice To Have Skills and Experience

  • Targeting ML models for latency constrained or edge applications
  • Curating datasets for model finetuning or accuracy improvement

In Return: You will be provided with the training and environment to succeed in this role. As well as a friendly and high-performance working environment. We are offering a hybrid approach to home and office working to provide an adaptable experience for all employees and to promote a strong collaborative environment.

Accommodations at Arm: If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com.

Hybrid Working at Arm: Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing.

Equal Opportunities at Arm: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues.

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Location:
Cambridge, England, United Kingdom
Salary:
£80,000 - £100,000
Job Type:
FullTime
Category:
IT & Technology

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