Member of Technical Staff, Cohere
MLE, North
More information about location
Enterprise-grade AI solutions for real-world business problems
Open for applications
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Open for applications
More information about location
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
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
Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key.
In a competitive landscape, dominated by giants like OpenAI, Google, and Elon Musk;'s xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself.
This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from MEta and Uber to strengthen its leadership team. Alongside this, its doubled its annual recurring reveneu to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2025
$100m
LATE VC
Aug 2025
$500m
LATE VC
Total funding: $1.5bn
Company benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(Co-Founder & CEO)Aidan received a PhD in Computer Science from the University of Oxford in 2024 and has served as Cohere's CEO since co-founding the company in 2019.
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