ML Applications Engineer - Conversational AI

Arm Limited; Cambridge; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is seeking a skilled Machine Learning Engineer specializing in Conversational AI. This role involves analyzing Machine Learning workloads, addressing challenges, and contributing to future edge AI solutions. The ideal candidate possesses experience in real-time conversational AI and model compression techniques. The company offers a hybrid work environment aimed at high performance and personal wellbeing.

Qualifications

• Experience in training time model compression techniques such as quantisation aware training, model pruning or model distillation.
• Experience in coaching or mentoring others.

Responsibilities

• Research latest model development trends in Conversational AI.
• Evaluate latest training time model compression techniques.
• Research dataset availability challenges.

Skills

Experience in training AI models for real time conversational AI workloads

Good interpersonal skills

Software development using Python

Knowledge of underlying DNN structures

Education

University degree in Computer Science, Engineering or scientific discipline

Job description

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.

Job Overview:

As a senior member of the team you will generate analysis of the Machine Learning environment for Conversational AI workloads. You will produce data-led analysis and conclusions covering model suitability, data and accuracy challenges, model compression techniques and ML tooling usability. You will draw on our previous experiences and ongoing investigation to define requirements for future edge AI solutions.

You will bring expertise in Machine Learning workflows, including model training and model compression techniques, with experience targeting real time conversational speech systems.

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. 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

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [e-mail]. To note, 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. Although this is not an exhaustive list, 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, whilst 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. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

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.