Member of Technical Staff, Cohere
Data Analysis and Evaluation
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
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
- Strong expertise in designing and conducting data collection tasks, including working with human annotators
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
- Experience analysing datasets with respect to their quality, biases, and suitability for training ML models
- Hands-on experience training large language models (LLMs) on distributed training infrastructures
- Familiarity with evaluating and improving the generalisability and robustness of ML systems
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
What the job involves
- As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs)
- Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models
- You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems
- This role combines expertise in statistics, experimental design incl
- Human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios
- You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful
- Design and oversee data collection tasks, including supporting human annotators and ensuring data quality
- Develop and apply statistical methods to evaluate the quality and reliability of datasets
- Analyse and assess the generalisability and robustness of ML systems across diverse use cases
- Collaborate with teams to improve dataset quality and model performance
- Train and fine-tune large language models (LLMs) on distributed training infrastructures
- Conduct experiments to evaluate model performance and identify areas for improvement
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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