Member of Technical Staff

London Stock Exchange Group; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services provider in Manchester is seeking a Senior Software Engineer to join a diverse team focused on designing and scaling AI systems. You will work on their all-in-one secure AI workspace, driving developments in agent technology and enhancing product quality. The ideal candidate possesses strong software engineering skills, proficiency in Python and machine learning frameworks, and experience in product-oriented teams. This role offers a range of inclusive benefits and a collaborative work environment.

Benefits

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% parental leave top-up

Personal enrichment benefits

Remote-flexible work options

6 weeks of vacation

Qualifications

• Extremely strong software engineering skills required.
• Proficiency in Python and associated machine learning frameworks.
• Deep experience in building product-centric organizations.

Responsibilities

• Drive agent development in RAG and tool use.
• Research and experiment with novel AI ideas.
• Collaborate to create data for post-training LLMs.

Skills

Strong software engineering skills

Proficiency in Python

Experience with ML frameworks (Tensorflow, JAX)

Product-centric organization leadership

Teamwork in building LLMs

Creating and curating large-scale datasets

Distributed training strategies

Collaboration with annotators

Job description

Job Overview

Senior Software Engineer – Member of Technical Staff (North), Cohere

Join a small, diverse team of engineers in designing, building, and scaling AI systems that underpin our suite of dev-centric enterprise products.

Responsibilities

• Work directly on North, Cohere's all-in-one secure AI workspace platform. Here you will drive agent development in RAG, tool use, and language agents embedded in North.
• Quickly research and experiment with novel ideas on our supercomputer and data infrastructure, ensuring our products remain at the forefront of the industry.
• Collaborate with top researchers, engineers, and annotators to create and evaluate data for post‑training LLMs, ensuring our products are of the highest quality and performance.
• Engage with the latest AI and deep learning research, staying up to date with leading conferences such as NeurIPS, ICLR, and AAAI.
• Leverage product data to understand usage patterns and identify areas for improvement, ensuring our products remain relevant and competitive.
• Work closely with leadership to shape company strategy and goals, ensuring our product vision is aligned with our overall business objectives.

Qualifications

• Extremely strong software engineering skills.
• Proficiency in Python and related ML frameworks such as Tensorflow, TF‑Serving, JAX, and XLA/MLIR.
• Deep experience in building and leading a product‑centric organisation.
• Direct experience working as part of a team building Large Language Models.
• Released multiple features with several iterations.
• Strong track record of creating and curating large‑scale datasets.
• Experience using large‑scale distributed training strategies.
• Familiarity with autoregressive sequence models, such as Transformers.
• Ability to collaborate effectively with human annotators and cross‑functional teams.
• Paper at top‑tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Benefits

• Open and inclusive culture and work environment.
• Weekly lunch stipend, in‑office lunches & snacks.
• Full health and dental benefits, including a separate budget for mental health.
• 100% parental leave top‑up for up to 6 months.
• Personal enrichment benefits towards arts and culture, fitness and well‑being, quality time, and workspace improvement.
• Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend.
• 6 weeks of vacation (30 working days).

Company Mission

Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.

EEO Statement

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.