Cohere

Member of Technical Staff, Post training team

London, England, United Kingdom

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Research & DevelopmentIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: Not specified

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. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future!

Why this role?

Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratios of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work.

Note: We have offices in London, Paris, Toronto, San Francisco, New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

Responsibilities

As a Member of Technical Staff, you will:

  • Design and write high-performant and scalable software for training models.
  • Consistently post-train the models to reach SOTA level performance.
  • Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance.
  • Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime.
  • Research, implement, and experiment with ideas on our supercompute and data infrastructure.
  • Learn from and work with the best researchers in the field.

Requirements

You may be a good fit if you have:

  • Extremely strong software engineering skills.
  • Proficiency in Python and related ML frameworks such as JAX, PyTorch and XLA/MLIR.
  • Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray).
  • Experience using large-scale distributed training strategies.
  • Hands-on experience training large models at scale.
  • Hands-on experience with the post-training phase of model training, with a strong emphasis on performance optimization.

Bonus:

  • Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Note: This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

Company Culture & Benefits

  • An open and inclusive culture and work environment.
  • Work closely with a team on the cutting edge of AI research.
  • Weekly lunch stipend, in-office lunches & snacks.
  • Full health and dental benefits, including a separate budget to take care of your mental health.
  • 100% Parental Leave top-up for 6 months.

Diversity & Inclusion

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.

Skills

Software Development
Model Training
Scalable Systems
Performance Optimization
Research-Production Bridging
Deep Learning
AI Model Deployment

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.
Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.
High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.
Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.
Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.
North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.
Cohere's multilingual support breaks language barriers, expanding its global market reach.

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