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Senior Applied AI Engineer

Improbable

London

Hybrid

GBP 50,000 - 80,000

Full time

4 days ago
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Job summary

A leading company in the gaming and web3 sectors is seeking an AI engineer to work on innovative projects. The role involves developing AI applications, optimizing models, and collaborating in a flexible work environment. Candidates with diverse experiences are encouraged to apply.

Qualifications

  • Direct experience with generative AI models.
  • Understanding of data pipelines for AI applications.
  • Professional software engineering experience.

Responsibilities

  • Work with cutting-edge AI technology to solve customer problems.
  • Develop infrastructure for AI-powered systems.
  • Optimize AI model usage for accuracy and efficiency.

Skills

AI Technology
Data Engineering
Software Engineering
Communication

Job description

At Improbable, we've been venturing into unexplored territory for over a decade, seeking new ways to connect people and amplify their lives. We're shaping virtual worlds of unprecedented scale for the gaming, web3, and related sectors, creating world-changing technology from Morpheus to M2. With us, you'll tackle questions that no one else is asking and find answers that define the future.

We are growing an engineering team which specialises in deep technical problem spaces, from high performance computing to the application of AI. We work on a wide variety of projects for a range of businesses. Recent examples include Somnia, the world's highest throughput EVM-based L1 blockchain, and work on Morpheus and related virtual events technology.

A key project area for the team is applied AI: capitalising on the power of the recent innovations in the AI space, and bridging the gap between the new models and real solutions. For this reason, we are looking to hire an engineer which specialises in the application of AI.

Your Opportunity:

  • Work directly with modern cutting edge AI technology to solve real customer problems.
  • Develop infrastructure and pipelines that support the scaling and efficiency of AI powered systems.
  • Optimise the use of AI models, balancing accuracy, speed, and efficiency.
  • Stay abreast of the latest developments in the AI space.
Why You're Made For This:
  • Direct experience building applications and integrations with modern generative AI models (e.g. LLMs).
  • Understanding of data engineering practices and proficiency in handling data pipelines for advanced AI applications.
  • A broad and up to date understanding of the tradeoffs, capabilities and limitations of different available models.
  • Professional software engineering experience.
  • Ability to drive an outcome and unblock yourself and those around you with high productivity.
  • Ability to work independently and in a team environment.
  • Strong verbal and written communication skills.
This role is available as remote, hybrid or in-office. We have a great office space in Spitalfields in London but are equally happy if you'd prefer to work from home some, or all of the time. We are 'Flexa' certified, meaning our entire employee experience is anchored around flexibility and autonomy.

While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.

About Us

Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.

We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.

If you require any reasonable adjustments as part of your application process or would like to confidentially discuss the matter, then please do let us know in the Additional Information section of your application.

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Diversity, inclusion and belonging

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