Overview
We are looking for a Machine Learning Manager to help lead our Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You'll manage a world-class team of ML engineers focused on building scalable, production-grade systems-working across modalities and domains such as reasoning, code, RAG, tools, and agents.
The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.
Key Responsibilities
Strategic Leadership
- Define and drive the long-term vision for the Applied ML team in alignment with Cohere's product and business goals.
- Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.
- Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.
Team Management
- Lead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.
- Foster a culture of ownership, innovation, and continuous learning.
- Establish and evolve team processes to maximize productivity and execution speed.
Product & Technical Innovation
- Partner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.
- Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.
- Oversee performance optimization and evaluation of models in real-world enterprise environments.
Customer Engagement
- Act as a trusted technical advisor to strategic customers-translating needs into actionable plans.
- Lead delivery efforts from prototyping through to production deployment on customer infrastructure.
Ideal Candidate Profile
Experience
- Bachelor's degree in Computer Science, Machine Learning, or a related field (Master's or PhD preferred).
- 8+ years in AI/ML, including several years in technical leadership roles.
- Proven success leading large ML teams and delivering complex AI solutions at scale.
- Experience with enterprise deployments, including custom model development and fine-tuning.
Technical Expertise
- Deep understanding of LLMs, their training, deployment, and real-world constraints.
- Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.
- Proficiency in ML frameworks such as PyTorch or TensorFlow.
- Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.
Strategic & Business Acumen
- Strong ability to translate business requirements into scalable ML solutions.
- Track record of product thinking and technical decision-making aligned with customer needs.
Communication & Leadership
- Exceptional communicator, capable of aligning technical execution with business goals.
- Experienced mentor who inspires excellence, collaboration, and growth in technical teams.
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.
Benefits
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, London and Paris, as well as a co-working stipend
- 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
