Staff ML Engineer - Developer Tools

Camwebdir; United Kingdom; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working

Access to ML tooling

Job summary

Arm is seeking a Staff ML Engineer in the Developer Platforms group to lead production-grade model analysis and optimisation tooling for edge developers.

You will work across ML frameworks, runtimes and Arm hardware to deliver intuitive experiences for developers who may not be ML experts, shaping the technical direction and developer experience.

Qualifications

• Strong understanding of neural-network architecture and model execution.
• Experience in hardware-aware model optimisation techniques.
• Experience with multiple ML frameworks and inference runtimes such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.
• Experience profiling, analysing and debugging ML workloads including latency vs memory considerations.
• Passion for building high-quality developer tools and intuitive workflows.

Responsibilities

• Join an established engineering team to define, design and deliver production-grade model analysis and optimisation tooling for edge developers, delivered through web services and desktop applications.
• Provide technical leadership in the ML tooling space, identifying gaps in existing technologies and helping shape the architecture and roadmap for our ML developer tooling.
• Work across ML frameworks, runtimes and hardware to understand capabilities and constraints and translate these into intuitive experiences for developers who may not be ML experts.
• Build effective relationships with distributed engineering teams, product managers and UX specialists to ensure tooling meets real developer needs.
• Drive demonstrable engineering quality through maintainable software, automated testing, CI, and customer feedback.

Skills

Neural networks

Hardware-aware optimisation

Model deployment

PyTorch

ONNX/ONNX Runtime

TensorFlow

OpenVINO

ExecuTorch

Profiling & debugging

Linux

Docker

Python

TypeScript

Tools

PyTorch

ONNX Runtime

TensorFlow

OpenVINO

ExecuTorch

Linux

Docker

Python

TypeScript

Job description

Job Description

In the Developer Platforms group at Arm, our mission is to make AI software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate Staff ML Engineer to help us build our expertise in ML tooling and deliver the next generation of developer experiences for Arm.

The ideal candidate will combine strong software engineering skills with deep practical experience of ML model optimisation and deployment. You will help make sophisticated ML optimisation techniques accessible to developers by building tools that analyse, optimize, and prepare models for efficient execution on Arm-based platforms.

You will work across developer tools, ML frameworks and emerging Arm hardware, helping shape both the technical direction and developer experience of our ML tooling.

Responsibilities

• Join an established engineering team to define, design and deliver production-grade model analysis and optimisation tooling for edge developers, delivered through web services and desktop applications.
• Provide technical leadership in the ML tooling space, identifying gaps in existing technologies and helping shape the architecture and roadmap for our ML developer tooling.
• Work across ML frameworks, runtimes and both existing and future hardware to understand capabilities and constraints and turn these into intuitive experiences for developers who may not be ML experts.
• Build effective relationships with distributed engineering teams, product managers and UX specialists to enable strong collaboration and ensure our tooling meets real developer needs.
• Drive demonstrable engineering quality through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback.

Required Skills and Experience

• A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware.
• Proven experience in hardware-aware model optimisation techniques such as quantisation, graph optimisation, operator fusion and precision reduction
• Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.
• Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy.
• A passion for building high-quality developer tools and intuitive workflows that make complex ML capabilities intuitive and easy to use by our target developers.

Nice To Have Skills and Experience

• ML model inspection, visualisation, profiling or benchmarking tooling.
• Understanding of how ML workloads are deployed across CPUs, GPUs and ML accelerators, and how models, runtimes, execution backends and hardware interact.
• Linux, containers and high-level languages such as Python and TypeScript.
• Experience building developer-facing CLIs, SDKs, APIs or web tools, with an interest in UX, interaction design and developer workflows.
• A product mentality and commitment to developer experience, with a history of engaging directly with developers, identifying and validating their needs, and using prototypes, customer feedback and analytics to iteratively improve developer-facing products.

In Return

You will have the opportunity to build and lead a new team working with innovative technologies in an agile environment which requires proactivity, dynamic approaches to problem solving and creative thinking.

An opportunity to work on greenfield software products which ship with new Arm hardware on day one.

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 [email protected]. 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.