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Who are we?

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!

Key responsibilities

  • 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.

Required Education and Experience

  • 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.

171 John Street, Suite 200, Toronto, Ontario M5T 1X3

Hybrid, Permanent, Full-time, 40 hours per week

Compensation: $270,000 to $300,000 per year, commensurate with experience.

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.

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.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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 for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

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What You Should Know About Director, Engineering Fellow NLP, Cohere

Cohere is looking for a talented and visionary Director, Engineering Fellow NLP to join our innovative team in Toronto. Our goal is to scale intelligence and enhance the way humans interact with technology through advanced AI systems. In this pivotal role, you'll be at the helm of our AI research initiatives, steering the direction of our Natural Language Processing efforts. You will collaborate closely with our executive team, define strategic objectives, and ensure that our AI products meet both market expectations and technical excellence. This isn't just about overseeing development; it's about inspiring a team of brilliant engineers and researchers to push the boundaries of what our models can achieve. You’ll be responsible for the entire lifecycle of AI product development—from initial concept to deployment—while managing resources efficiently. We’re focused on building competitive, impactful AI solutions, and your insights from customer interactions will be critical in shaping the trajectory of our projects. Furthermore, as a face of Cohere in conferences and public engagements, you will represent our dedication to driving AI innovation. Join us in our mission to create meaningful, transformative experiences through AI, and help us achieve our vision of serving humanity with cutting-edge technology.

Frequently Asked Questions (FAQs) for Director, Engineering Fellow NLP Role at Cohere
What are the main responsibilities of the Director, Engineering Fellow NLP at Cohere?

The Director, Engineering Fellow NLP at Cohere holds a critical role overseeing AI research and product development that focuses on Natural Language Processing. Responsibilities include determining strategic objectives, aligning technical initiatives with business goals, leading cross-functional teams, and managing the full lifecycle of AI products from conception to deployment. Additionally, this position entails representing Cohere at conferences and ensuring effective customer engagement throughout the development process.

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What qualifications are required for the Director, Engineering Fellow NLP position at Cohere?

Cohere requires a candidate holding a Bachelor’s Degree in Computer Science, Machine Learning, or a related field, along with over 3 years of senior management experience in the AI industry and more than 5 years in Machine Learning research and development. Proficiency in Natural Language Processing techniques, deep learning, and familiarity with industry-standard frameworks like TensorFlow or PyTorch are also essential for this role.

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How can the Director, Engineering Fellow NLP impact AI product development at Cohere?

In the role of Director, Engineering Fellow NLP at Cohere, you will influence AI product development significantly by defining and implementing a technical roadmap that leverages insights gathered from customer feedback. Your leadership will guide engineering teams to meet market needs effectively and enhance the capabilities of NLP features, ultimately contributing to Cohere's competitive edge.

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What does Cohere offer its employees in terms of work culture and benefits?

At Cohere, employees enjoy a dynamic and inclusive work culture that emphasizes collaboration and innovation. They offer full health and dental benefits, personal enrichment benefits, a weekly lunch stipend, and a generous 6-week vacation policy. Moreover, Cohere values and celebrates diversity, ensuring a welcoming environment for individuals from all backgrounds.

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What is the salary range for the Director, Engineering Fellow NLP role at Cohere?

The salary for the Director, Engineering Fellow NLP role at Cohere ranges from $270,000 to $300,000 per year, depending on experience. The position also comes with comprehensive benefits that support both personal and professional growth in a supportive work environment.

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Common Interview Questions for Director, Engineering Fellow NLP
What motivated you to apply for the Director, Engineering Fellow NLP position at Cohere?

When answering this question, focus on Cohere's mission of scaling intelligence to serve humanity and elaborate on how your background in AI and NLP aligns with this vision. Highlight your passion for improving AI technologies and working with skilled teams to produce impactful solutions.

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Can you describe your experience with Natural Language Processing techniques?

Answer by detailing specific NLP projects you've worked on, technologies you’ve utilized such as BERT or GPT, and outcomes achieved. Emphasize your depth of knowledge in language representation models and how it can benefit Cohere's ongoing projects.

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How do you prioritize AI projects and ensure alignment with business goals?

Discuss your approach to prioritizing projects by identifying dependency on customer feedback or market needs. Highlight your experience in collaborating with stakeholders to align initiatives effectively, ensuring that AI development remains strategic and focused on delivering value.

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What leadership style do you adopt when managing cross-functional teams?

Explain your collaborative leadership style, emphasizing the importance of empowering team members, fostering open communication, and drawing on diverse perspectives to enhance creativity and problem-solving within the team.

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How do you keep up with advancements in AI and NLP technologies?

Showcase your commitment to continuous learning by discussing how you regularly read recent publications from conferences like NeurIPS or ICLR, participate in relevant workshops, and engage in communities that focus on AI advancements.

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What challenges do you foresee in AI product development, and how would you address them?

Reflect on common challenges such as data privacy, technology adoption, and rapid market changes. Discuss how your strategic planning and adaptability can help mitigate these issues, ensuring smooth progress in product development.

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Describe a successful AI project you've led and what made it successful.

Provide a specific example, detailing your role, the objectives, methodologies applied, and measurable outcomes. Emphasize how your leadership abilities and technical expertise contributed to the project’s success.

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What role does customer feedback play in your AI development process?

Discuss how you integrate customer feedback into the development lifecycle, ensuring products meet real user needs. Highlight any systematic approaches you take to gather, analyze, and implement this feedback in your projects.

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How do you handle underperformance in your team?

Talk about your approach to performance management, which emphasizes constructive feedback, coaching, and identifying professional development needs to help team members grow and thrive.

Join Rise to see the full answer
What steps do you take to manage project timelines and budgets effectively?

Describe your experience with project management tools and techniques that help track project progress, milestones, and budget adherence. Emphasize any methods you use for identifying risks and adjusting plans as necessary to stay on track.

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Cohere, founded by AI pioneers, offers a leading enterprise AI platform that combines ease-of-use, data privacy, and unparalleled flexibility with its cloud-agnostic and API-accessible services,

148 jobs
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CULTURE VALUES
Startup Mindset
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Inclusive & Diverse
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Full-time, hybrid
DATE POSTED
March 18, 2025

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