Overview

ML Applications Engineer - Conversational AI at Arm. Are you interested in driving adoption of Conversational AI at the edge? Do you understand the challenges faced by the Machine Learning community? We are looking for an experienced Machine Learning Engineer with domain specialism in Conversational AI 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.

Responsibilities

• Research latest model development trends in Conversational AI, replicating results and verifying performance capabilities
• Evaluate latest training-time model compression techniques and analyse the effectiveness of ML tooling as applied to speech workloads
• Research dataset availability challenges and work with ecosystem partners to enable access to a wide range of language support
• Communicate reliable, robust research and analytics to inform future engineering and technology requirements, across a diverse audience within Arm
• Help 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 real-time conversational AI 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, with a friendly and high-performance working environment. We offer 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

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. By sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality and information concerning these requests will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

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. We believe in bringing people together face to face to enable us to work at pace, while recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. Where applicable, flexibility may be limited by local legal, regulatory, tax, or other considerations, and we will collaborate with you to find the best solution.

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. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing

Note: This listing may include referrals and location-specific postings for Cambridge, England, United Kingdom.