Graduate ML Research Engineer

Zettafleet; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

An AI research laboratory in London seeks a Founding Research Engineer specializing in machine learning. The role involves designing and training large multimodal models, collaborating with clients, and contributing to best practices. The ideal candidate has experience in complex ML projects, proficiency in Python with frameworks like PyTorch, and strong problem-solving skills. Offering competitive salary and benefits, including equity and professional growth opportunities.

Benefits

Competitive salary

Equity

28 days + public holidays

Qualifications

• Experience in complex machine learning projects, including data processing.
• Understanding of LLM architectures and their evaluations.
• Strong analytical skills and ability to break down complex problems.

Responsibilities

• Design and train large multimodal machine learning models.
• Collaborate with clients to understand model architecture requirements.
• Contribute to the company culture and best practices.

Skills

Machine learning

Python

Communication skills

Problem solving

Collaboration

Tools

PyTorch

TensorFlow

JAX

Docker

AWS

GCP

Azure

Job description

Team:Machine Learning

Location:London (On-site; Liverpool Street)

Employment Type:Full-time and Permanent

Remuneration:£70 - 90kBase Salary + Discretionary Bonus + Equity

We are a stealth-mode AI laboratory researching and developing Machine Learning models.

The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.

In this role, you will:

• Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference.
• Work closely with clients to understand data and model architecture requirements for their business needs.
• Be given a high degree of autonomy and ownership over your work.
• Co-hire your future colleagues.
• Work closely with the founding team and contribute towards best practices, standards, and culture of the company.

What we are looking for:

• Research engineering:Industry experience in complex machine learning projects including data processing and training models in a distributed environment.
• LLMs:Understanding of LLM architectures, pre and/or post-training, evaluations and inference.
• Programming languages:Proficiency in Python using PyTorch/TensorFlow/JAX framework.
• Cloud-native technologies:Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker).
• Algorithms and data structures:Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems.
• Problem solving:Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks.
• Collaboration and communication:Excellent interpersonal and communication skills with a desire to learn.

We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.

Nice to have:

• Publications:At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV)
• Open-source:Contributions to and experience in open-source projects.
• Startup experience:Experience with a startup work environment and wider ecosystem.

Why join us?

• Work in an environment conducting cutting-edge research in AI.
• An official role title of “Founding Research Engineer” - make an impact on day one.
• Competitive salary, equity and benefits package.
• 28 days + public holidays allowance.
• Opportunities for professional growth and progression with your career.
• Work on challenging engineering problems that have a real impact on the industry.
• Work with high-profile customers and technology partners.