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Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybri[...]

JR United Kingdom

London

Hybrid

GBP 50,000 - 70,000

Full time

4 days ago
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Job summary

Une entreprise innovante à Londres, fondée par une équipe de classe mondiale, cherche un 'Research Scientist' spécialisé en apprentissage automatique et en apprentissage par renforcement. Ce poste implique le leadership dans le développement de modèles de base sur des ensembles de données massives, en collaboration avec des équipes pluridisciplinaires pour des applications nouvelles et passionnantes. Offrant un salaire compétitif, des parts et un soutien aux visas, il représente une opportunité unique pour des personnes ambitieuses de se joindre à une mission révolutionnaire.

Benefits

Salaire compétitif
Actions et bénéfices
Soutien au visa si nécessaire

Qualifications

  • Expérience avec des systèmes d'apprentissage profond en production souhaitée.
  • Publication dans des conférences de ML de haut niveau appréciée.

Responsibilities

  • Diriger le développement de l'entraînement de modèles sur des ensembles de données propriétaires.
  • Évaluer et améliorer la performance des modèles sur divers cas d'utilisation.

Skills

Expérience pratique avec des modèles de langage
Conception de logiciels complexes
Capacité de travail en équipe

Education

Diplôme en sciences

Job description

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Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London, london

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Client:

Enigma

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London

Overview

Today’s internet is misaligned with its users – at best one-size-fits-all and static, and at worst

adversarial. We’re building AI-powered tools to create new digital experiences that are

fundamentally aligned with each person’s goals, needs, and values. In this new human-aligned

internet, generative user interfaces will augment our capacity for discovery, understanding, and

expression by learning from and responding to users in real time.

We’re powering these experiences with our bespoke foundation model, enabling intelligent,

highly personalized user experiences for every piece of software on the planet, while ensuring

full transparency and user control.

Founded by a world-class team (ex-DeepMind / Oxford / UCL), we’re well-funded and rapidly

scaling our modeling efforts and product deployments.

Headquartered in London, we’re seeking brilliant, ambitious individuals who share our vision of

transforming user interfaces into adaptive, intuitive, and empowering experiences – self-starters

who can define and own their lanes in a fast-paced, high-growth environment.

What you will do

• Lead the development of our foundation model training on huge proprietary datasets

• Experiment with new methods and ideas to improve the model’s core capabilities

• Evaluate and improve the performance of our models on a variety of use cases (content

• Develop tools to facilitate data and modeling iteration

• Work together with other scientists, engineers, and product teams to ship new

applications of our foundation model

About you

• Hands-on experience with large language models

• Design complex software and make it usable in production

• Strong scientific track record in a field of science

• Team-player, self-starter and autonomous

• Collaborative with a team-player mindset

And ideally:

• Worked with large-scale deep learning systems in production

• Published extensively in top-tier ML conferences

• Experience in and appetite for working in small, rapidly growing teams or companies

We offer enormous opportunities to define and own your lane, competitive cash salary and

equity, and full benefits and visa support if necessary. → Apply here!

Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London

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