Member of Technical Staff, Cohere
MLE, North
More information about location
Natural language processing AI platform
Open for applications
Natural language processing AI platform
501-1000 employees
Open for applications
More information about location
501-1000 employees
Company mission
To build machines that understand the world, and to make them safely accessible to all.
Role
Who you are
- 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)
What the job involves
- At Cohere, our Members of Technical Staff are at the forefront of defining and shaping the future of AI-powered products
- In this role, you will have the opportunity to translate cutting edge research into tangible, high-performance products that drive our enterprise forward
- You will be working directly on North, Cohere’s all-in-one secure AI workspace platform, driving agent development in RAG, tool use, and language agents
- With one of the highest compute-to-engineer ratios in the world, we provide an environment where your ideas can flourish and be rapidly brought to market
- Join a small, diverse team of engineers in designing, building, and scaling AI systems that underpin our suite of dev-centric enterprise products
- 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
Our take
The AI industry biggest stakeholders insist that the next step in enhancing web experiences will be through natural language interactions. While this may be true, only companies with considerable resources can reasonably address the gap needed to bring NLP to the forefront of web integration. Cohere was founded to address this shortfall between NLP development, widespread usage, and the resources required.
Cohere works on building top-of-the-class NLP processing models and software which it makes available to customers through APIs and custom solutions. In a strategic move, the company has partnered with Google Cloud, giving them access to resources that will undoubtedly push the field of NLP forward. This allows Cohere to serve as middlemen by offering a wide range of customers a product built on unmatched technology.
AI is currently a worldwide talking point and so it is no surprise that Cohere has seen rapid development, and raised $270M in a 2023 funding round. The company plans to introduce a dialogue model that would resemble ChatGPT, however, in this case, its technology would be mainly accessible to developers and businesses.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$500m
SERIES D
Mar 2023
$270m
SERIES C
Total funding: $940m
Company benefits
- We cover 100% of premiums across health, dental, vision & travel
- We offer RRSP, 401K, and Pension Scheme contributions
- We offer lunch and fitness studio credits and a quality time fund which can be spent on things like dog walking and laundry services
- We want everyone who contributes to our success to get a ‘piece of the pie’
- Work Remote & PTO
- We know that some people work better at home, so we are remote-first, and sure that all meetings, events, and opportunities are set up for our distributed team
- Every employee at Cohere gets 6 weeks of paid time off & US and Canadian federal holidays, and we provide unlimited sick days
- All new parents (including those who adopt or go through a surrogate journey) are eligible to receive 100% salary for 6 months in Canada, the US, and the UK
- The decision and journey to having kids is different for each person and family. Part of our commitment to diversity is being able to support the widest variety of these scenarios as we can so we offer financial support for egg freezing and IVF for those in the US, Canada and the UK
- Every employee at Cohere receives an annual $2,000 education fund to use as they please
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(CEO)Has a PhD in Computer Science from Oxford University. Previously worked as a Researcher at Google (Brain) and FOR.ai
Ivan Zhang
(CTO)Previous experience working in research and engineering at For.ai, Cortex labs, Pressly and Ranomics.
Nick Frosst
(CTO)Previously worked as a Research Engineer at Google (Brain).
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