Director of Engineering, Cohere
Fellow NLP
$270-300k
40 hours per week
Office located in John Street, Toronto
Enterprise-grade AI solutions for real-world business problems
Job no longer available
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Job no longer available
$270-300k
40 hours per week
Office located in John Street, Toronto
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
Role
Who you are
- Bachelor’s Degree in Computer Science, Machine Learning, or a related field
- 3+ years of experience in a senior management role within the AI industry
- 5+ years of Machine Learning research, software design and development experience
- Advanced AI and Machine Learning experience with a wide range of AI techniques, including deep learning, reinforcement learning, and self-supervised learning
- Strong command of NLP techniques, including language representation models (e.g., BERT, GPT), dialogue systems, information retrieval, and information extraction
- Proficiency in industry-standard Large Language Models (LLMs) and architectures, and development of frameworks that include TensorFlow, PyTorch, or similar frameworks for building, training, and deploying language models
- Experience with AWS and Google Cloud computing platforms
What the job involves
- Determining the strategic direction and establishing objectives for the company’s Artificial Intelligence (AI) research and product development operations
- Leading Customer Engagement and Research and developing policies to ensure all technical initiatives are aligned with business goals
- Working with the executive team and partners to prioritize short and long-term investments
- Having responsibility for overseeing all AI research and product development operations that incorporate Natural Language Processing (NLP), including the product lifecycle from conception to deployment and the allocation of personnel financial and material resources
- Defining and directing the development and implementation of a technical roadmap and strategy for AI product development and lifecycle implementation by leveraging insights from customer engagements
- Overseeing engineering research projects on the competitive landscape and industry trends to stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.)
- Leading cross-functional teams and delegating the authority to subordinate managers to ensure that NLP features meet market needs and create a competitive edge
- Overseeing the analysis of product data to understand usage and find opportunities for improvement
- Leading, developing and controlling AI product development and production schedules. This includes defining the major milestones for projects, identifying critical paths, tracking project progress and adjusting production plans to ensure technical projects are completed on time and within established budget
- Representing the organization at conferences and other public speaking engagements
- Providing direction, leadership and guidance essential to the professional development of the AI product development team under their responsibility
- Managing the recruitment and training of AI product development personnel
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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