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Machine Learning Manager - Applied ML

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Cohere

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Location:
United States , New York

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a Machine Learning Manager to lead our East Coast 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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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

Requirements:

  • 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
  • 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
  • Strong ability to translate business requirements into scalable ML solutions
  • Track record of product thinking and technical decision-making aligned with customer needs
  • Exceptional communicator, capable of aligning technical execution with business goals
  • Experienced mentor who inspires excellence, collaboration, and growth in technical teams
What we offer:
  • 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 up to 6 months
  • 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 (30 working days!)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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