Cohere · 2 days ago
Machine Learning Manager - Applied ML (NYC)
New York, NY
Full-time
Hybrid
Director/Executive
8+ years expCohere is on a mission to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises. They are seeking a Machine Learning Manager to lead their East Coast Applied ML team, focusing on delivering AI solutions tailored for enterprise customers while managing a team of ML engineers.
Artificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language Processing
Responsibilities
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
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, or a related field
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
Preferred
Master's or PhD in Computer Science, Machine Learning, or a related field
Benefits
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!)
Company
Cohere
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.
201-500 employees
H1B Sponsorship
Cohere has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$1.71BKey Investors
Government of CanadaTiger Global ManagementIndex Ventures
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market
Leadership Team
Aidan Gomez
cofounder + ceo
Ivan Zhang
Co-Founder
Recent News
2026-01-06
Crunchbase News
2026-01-06
2025-12-27
Company data provided by crunchbase