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Machine Learning Manager - Applied ML (NYC)

Cohere

Machine Learning Manager - Applied ML (NYC)

Cohere

New York

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Mental Health

Parental Leave

Free Meals

Remote Work

Learning Budget

Healthcare

Mental Health

Parental Leave

Meals

Remote Work

Learning

Required Skills

Machine Learning

Leadership

PyTorch

TensorFlow

LLMs

RAG

Team Management

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!

Why Join Us?

At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.

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.

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 Py Torch or Tensor Flow.

  • 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!

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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 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!)

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About Cohere

Cohere

Cohere

Series C

Cohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.

201-500

Employees

New York

Headquarters

$2.2B

Valuation

Reviews

3.8

45 reviews

Work Life Balance

3.6

Compensation

4.2

Culture

4.0

Career

3.8

Management

3.5

78%

Recommend to a Friend

Pros

Supportive team and management

Competitive compensation and benefits

Good work-life balance and flexible environment

Cons

Room for improvement in processes

Career progression could be clearer

Some organizational bureaucracy

Salary Ranges

0 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Solution Architect L2

0 reports

$71,230

total / year

Base

$28,492

Stock

$35,615

Bonus

$7,123

$49,861

$92,599

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 25%

Neutral 0%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assessment

5

Hiring Manager Interview

6

Final Round Interview

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience