Director of Machine Learning

Harnham; Sunnyvale (CA); Remote; USD 150,000 - 250,000; Full time

Job summary

A leading venture-backed SaaS company is seeking a Director of Machine Learning to guide their AI initiatives. In this high-impact role, you will define machine learning strategies, oversee scalable system architectures, and mentor high-performing teams while ensuring compliance and innovation. This position offers generous compensation and fully remote work within the U.S.

Benefits

Generous equity package

Performance-based bonus

Unlimited PTO + paid holidays

Health, dental, vision, and 401(k) with match

Qualifications

• 10+ years in machine learning with 3+ years in leadership.
• Strong experience in deploying models into production.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Define and lead machine learning strategy across products.
• Architect scalable ML systems and oversee model development.
• Grow and mentor a team of ML engineers and data scientists.

Skills

Machine Learning

Applied Data Science

Python

TensorFlow

PyTorch

MLOps

Feature Engineering

Communication

Education

MS or PhD in Computer Science, Machine Learning, or related field

Tools

AWS SageMaker

Vertex AI

Job description

We’re partnering with a high-growth, venture-backed SaaS company that is reshaping how enterprises leverage predictive intelligence. With a mission to make machine learning scalable and actionable across industries, they’re now hiring a Director of Machine Learning to lead strategy, architecture, and implementation of core ML initiatives.

THE ROLE

As Director of Machine Learning, you’ll be responsible for driving the end-to-end development and deployment of ML models used across multiple product lines. This is a high-impact leadership role that blends hands-on technical oversight with cross-functional influence. You’ll lead a team of ML engineers and data scientists to shape the company’s long-term AI vision.

YOUR RESPONSIBILITIES

• Define and lead the machine learning strategy across product and infrastructure
• Architect scalable ML systems and oversee model development, evaluation, and deployment
• Partner closely with Product, Engineering, and Executive teams to align ML efforts with business goals
• Grow and mentor a team of high-performing machine learning engineers and data scientists
• Own the roadmap for ML experimentation, automation, and productionization
• Ensure models are explainable, monitored, and compliant with data privacy regulations
• Stay ahead of new technologies and bring innovative thinking to the organization

YOUR SKILLS & EXPERIENCE

• 10+ years of experience in machine learning or applied data science, with at least 3 years in leadership roles
• Strong experience deploying models into production (real-time and batch)
• Expertise in Python, TensorFlow or PyTorch, and cloud ML platforms (AWS SageMaker, Vertex AI, or similar)
• Deep understanding of model lifecycle management, feature engineering, and MLOps
• Track record of building and scaling ML teams in a fast-paced environment
• Excellent communication skills; able to translate complex concepts to non-technical stakeholders
• MS or PhD in Computer Science, Machine Learning, or a related field

COMPENSATION & BENEFITS

• Generous equity package
• Performance-based bonus
• Fully remote within the U.S.
• Unlimited PTO + paid holidays
• Health, dental, vision, and 401(k) with match

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