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Senior AI Software Engineer (Research and Development)

ZipRecruiter

South Oxfordshire

On-site

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

A leading company in AI technology is seeking a Senior AI Software Engineer to enhance their proprietary AI stack. This role involves collaborating with the CTO and AI Architect on innovative software development, focusing on neural networks and genetic algorithms. Candidates should have strong Python skills and experience in software engineering, with a passion for AI research. The position offers a dynamic work environment with opportunities for personal growth and influence in a growing startup.

Benefits

EMI share options scheme
25 days annual leave, plus bank holidays
Flexible working

Qualifications

  • 3-5 years professional software development experience.
  • Strong Python skills and experience with Reinforcement Learning.

Responsibilities

  • Develop proprietary AI training and inference framework.
  • Engage with academic partners and the AI community.
  • Champion and maintain code quality standards.

Skills

Python
Software Engineering
AI Research
Agile Development

Education

BSc in Computer Science
Master’s or PhD in Computer Science

Tools

Git
Reinforcement Learning
Scrum

Job description

Job Description

The Company

Luffy AI is an exciting high-tech startup developing adaptive neural networks for industrial control & robotics (Physical AI). Luffy specialises in “Micro AI” controllers (sometimes referred to as TinyML) that can be trained in simulation on digital twins and successfully transferred into real world systems. The Micro AI controllers can be deployed on existing controller hardware with a small footprint and no internet connection.

Our networks use neuroplasticity to learn the dynamics of the equipment they are placed in and continue to adapt long after training. These innovations allow us to overcome the difficulty of applying AI in control system applications.

Our transformative AI technology allows process industries and manufacturers to improve productivity and save energy, and allows industrial automation vendors to simplify and extend the operating envelope of their machines. This revolutionary control technology is a key enabler of Industry 4.0, with huge potential in foundation industries such as metals, glass and cement manufacturing, as well as in automation sectors such as electric motors and robotic systems.

We are based at the Culham Science Centre near Oxford, UK and have a satellite office in the centre of Bristol.

The Role

We are looking for a passionate Senior AI Software Engineer to work with our CTO and AI Architect to work on our proprietary AI stack, both delivering operational improvements for our AI Control Engineers who use the stack to train controllers, and working on R&D projects to drive step changes in the Stack’s capabilities longer term.

The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks.

This dynamic role will require you to have a broad interest in and experience in software engineering, working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage.

This role requires specific experience with Python and familiarity with C/C++ or GPU programming would be a bonus. As an early team member in a growing startup you will be in a unique position to influence the direction of the company and tailor the role to your interests.

Roles and Responsibilities

The specific role can be adapted to your skill-set, but we are broadly looking for someone to take on the following responsibilities:

  • Development of proprietary AI training and inference framework used by our AI Control Engineers
  • Research and development activities to drive significant step improvements to our AI Stack
  • Engage with academic partners and the AI community through collaborations, conferences, and open-source contributions
  • Liaise with applications engineers and our commercial teams to identify and develop new features and capabilities
  • Contribute to or lead the development of internal software libraries
  • Champion and maintain code quality standards and professional software development practices across our code base.

Behaviours and personal characteristics

  • Passionate about software engineering and about writing robust, efficient code that is well thought out and tested.
  • Keen interest in AI research, with an interest in following new scientific and technical developments in the field
  • Fast learner, comfortable picking up new technologies and techniques.
  • T-shaped person, deep expertise in a few areas but able to be a generalist when needed.
  • Team player.
  • Strong organisational skills.

Qualifications and Experience

Essentials:

  • At least BSc in Computer Science or relevant discipline
  • 3-5 years professional software development experience
  • Strong Python skills
  • Some experience with Reinforcement Learning
  • Solid grounding in API design, algorithms, design principles
  • Well versed with industry standard development practices, testing frameworks, source control (git), CI, etc
  • Experience of agile development practices, especially Scrum

Desirable:

  • Master’s or PhD in Computer Science or relevant discipline
  • Strong experience with a statically typed , preferably C, C++, or Rust
  • Experience with genetic algorithms or neuroevolution
  • Experience with neural network concepts such as neuroplasticity and recurrent neural networks
  • Experience of reinforcement learning frameworks like OpenAI Gym
  • Experience with software optimisation or high performance computing,
  • Fluent in English with excellent written and verbal communication skills
  • Experience of leading agile processes especially Scrum Master

Benefits

  • Full time salary will depend on experience and capability assessment during the interview process.
  • EMI share options scheme.
  • 25 days annual leave, plus bank holidays
  • Flexible working – we require a minimum level of on-site presence, but will accommodate your work style preferences where possible. We can’t accept fully remote candidates
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