Research Engineer - Bayesian Optimisation (Contractor)

Huawei Technologies Research & Development (UK) Ltd; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Huawei is seeking a Research Engineer - Bayesian Optimization to advance research in reinforcement learning and decision-making under uncertainty. This role offers an opportunity to contribute to significant research outputs while collaborating with a diverse team, aiming to publish findings in prestigious conferences. Ideal candidates will possess a PhD and have a strong background in relevant algorithms and programming skills.

Benefits

33 days annual leave

Group Personal Pension

Employee Assistance Program

Cycle-to-work scheme

Company sports club and social events

Additional time off for learning and development

Qualifications

• Strong research background with submissions in ICML, NeurIPS.
• Hands-on experience in algorithms related to reinforcement learning and Bayesian methods.
• Ability to collaborate within a diverse team of researchers.

Responsibilities

• Develop high-impact research in Bayesian optimization and reinforcement learning.
• Write research-level code for testing new approaches.
• Communicate findings through publications.

Skills

Python

Bayesian optimization

Reinforcement learning

Probabilistic modeling

Game theory

Education

PhD in Computer Science or a related field

Tools

PyTorch

TensorFlow

Job description

Research Engineer - Bayesian Optimisation (Contractor)

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Job Description

Job Title

Research Engineer – Bayesian Optimization

Department/ Group

Reinforcement Learning Team

Reports To

Haitham Ammar

Manager Position

No

Location

London

Position Type

Full time 37.5 hours per week

About Huawei Research And Development UK Limited

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have more than 194,000 employees, and we operate in more than 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. The company’s commitment to investment in R&D in the UK, through university partnerships or bespoke facilities such as the photonics centre in Ipswich, will keep the country at the forefront of global digital innovation. And through this commitment, the UK will play an increasingly significant role in helping Huawei to develop the technologies of the future that will transform the way we all communicate, work and live.

For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

• staying customer-centric,
• inspiring dedication,
• persevering,
• Growing by reflection.
  
  

Huawei Research and Development UK Limited Overview

Huawei’s vision is a fully connected, intelligent world.

To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh, Ipswich, and Bristol. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications, and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.

Job Summary

Huawei is looking for a Research Engineer with experience in Bayesian optimization. We wish to recruit exceptional candidates to pursue research in various aspects of reinforcement learning and Bayesian optimization for autonomous decision-making under uncertainty. The successful applicant is expected to develop novel contributions allowing the field to move forward in getting it a step closer to real-world applications. Key research questions include but are not limited to scalable high-dimensional Bayesian optimization, Gaussian processes, Bayesian neural networks, safe and robust reinforcement learning, multi-agent reinforcement learning, and model-based reinforcement learning. This is an exceptional opportunity for research while collaborating with a diverse team with backgrounds ranging from mathematics and optimization to probability and game theory. We aim to publish our work in top-tier conferences and journals, including but not limited to ICML, ICLR, NeurIPS, and JMLR. Our goal is to contribute to an open and transparent research environment by regularly open-sourcing the code of our novel discoveries.

Key Responsibilities:

• Develop high-impact research output in the field of reinforcement learning, Bayesian optimization, game theory, multi-agent learning, probabilistic modeling, and/or risk-averse learning
• Write research-level code capable of testing novel ideas and new approaches
• Effectively communicate research findings to the team and to the broader community through journal and conference publications
• Aid in progressing research fields by open-sourcing code
  
  

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Person Specification:

List details of Knowledge, Skills, Experience and Qualifications needed to do the job:

Required:

• PhD in Computer Science or a related field
• Strong research background demonstrated through journal and conference submissions in any of the following: ICML, NeurIPS, AISTATS, AAAI, UAI, IJCAI, JMLR, Annals of Statistics, and Annals of Probability
• Hands-on Experience in implementing reinforcement learning, Bayesian optimisation, probabilistic modeling, and/or multi-agent algorithms
• Knowledge of Python, specifically PyTorch or TensorFlow in addition to OpenAI Gym, GPFlow, Pyro, among others
• Ability to work in a diverse interdisciplinary team of researchers and engineers with different background
  
  

What We Offer

• 33 days annual leave entitlement per year (including UK public holidays)
• Group Personal Pension
• Employee Assistance Program
• Cycle-to-work scheme
• Company sports club and social events
• Additional time off for learning and development
  
  

Privacy Notice

Through applying for this position you agree to our Privacy Notice. For further details please follow the link : http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Telecommunications

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