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Head Of Machine Learning Jobs (NOW HIRING)

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

POSITION SUMMARY We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine ...

3M HEALTHCARE

WI · On-site

$125 - $150/hr

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior‑most ML role in the company -- partnering directly with the CTO as a peer technical leader ...

Hightouch

Head of Machine Learning

$230K - $400K/yr

About the Role We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Jobless

$250/hr

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Gametime United

Head of Applied Machine Learning

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Gusto

Head of AI and Machine Learning Engineering

They are seeking a strategic Head of AI and Machine Learning Engineering to lead the development and implementation of AI/ML systems that enhance customer experiences and improve operational ...

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Head Of Machine Learning information

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How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in the United States is $63,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

What are the key skills and qualifications needed to thrive as a head of machine learning?

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.
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Head Of Machine Learning jobs near you
Infographic showing various Head Of Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $63,862 per year, or $30.7 per hour.

Head of Machine Learning

Mountain View, CA • Hybrid

EarnIn
Finance and Insurance • 201 - 500 employees
Learn more about EarnInexternal

$477K - $583K/yr

Full-time

Re-posted 20 days ago

Job description

POSITION SUMMARY 

We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact.

The Head of ML will drive operational excellence across our machine learning systems by defining and executing a vision that moves models from research to production with strong performance, reliability, and maintainability. The ideal candidate will bring a proven track record of deploying ML models at scale, particularly in fast-paced startup environments. This leader should have a strong coding foundation, deep familiarity with production-grade ML engineering practices, and the ability to bridge theoretical concepts with practical implementation. While the role is primarily strategic and operational, it also requires a willingness to be hands-on and contribute code when needed to support the team and accelerate key initiatives.

The Mountain View base salary range for this full-time position is $477,000 to $583,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO 

  • Define and own the machine learning roadmap in alignment with business goals.
  • Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.
  • Collaborate with software engineers, data engineers, product managers, and marketing to coordinate timely deployments from conception to release

WHAT WE'RE LOOKING FOR 

  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • 12+ years of experience in Engineering or Scientific domains,
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Extensive breadth and depth of knowledge of machine learning algorithms
  • Industry experience building and productionizing machine learning systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills

#LI-Hybrid

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