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Director Graduate Machine Learning Jobs (NOW HIRING)

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Engineer, Machine Learning

Arlington, VA ยท On-site

$157K - $185K/yr

This position will report to the Director of Business Intelligence and is structured within IT ... Integrate machine learning models into production environments, ensuring reliability and ...

Job#: 3049321 Machine Learning Engineer Location: Jersey City, New Jersey (Onsite) Employment Type ... An advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial ...

... our users with the utmost optimal direct, secure, and privacy-preserving experiences ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Machine Learning Engineer

Ann Arbor, MI ยท On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

Showing results 41-60

Director Graduate Machine Learning information

See salary details

$60K

$103.7K

$163.5K

How much do director graduate machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director graduate machine learning in the United States is $103,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What cities are hiring for Director Graduate Machine Learning jobs?

Cities with the most Director Graduate Machine Learning job openings:

What are the most commonly searched types of Graduate Machine Learning jobs?

The most popular types of Graduate Machine Learning jobs are:

What states have the most Director Graduate Machine Learning jobs?

States with the most job openings for Director Graduate Machine Learning jobs include:

What other helpful pages are available for Director Graduate Machine Learning?

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Director, Machine Learning - User Value

Mountain View, CA โ€ข On-site

$250K - $325K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


Job description

The opportunity
Unity Vector represents the next generation of our AI-powered advertising ecosystem-a forward-looking evolution of our machine learning infrastructure and models. We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the heart of Unity's ambitious machine learning modeling initiatives.
As a leader, you will bridge the gap between complex machine learning paradigms and core product strategy. You will manage and scale a high-performing organization of scientists and ML engineers, ensuring our models translate into high-value user acquisition for advertisers.
What You'll Do
  • Shape the ML Vision: Define 1-3 year technical roadmap for user value modeling, aligning algorithmic capabilities with product and business growth goals.
  • Lead and Scale Teams: Mentor, recruit, and retain a team of applied scientists and machine learning engineers. Foster a culture of technical excellence, continuous learning, and rapid experimentation.
  • Drive Product Impact: Partner closely with leadership in Product, Design, and Data Science to identify new opportunities where ML can solve customer pain points and unlock tangible value.
  • Advance the Technical Stack: Oversee the development, deployment, and maintenance of scalable ML systems-spanning personalization, content recommendation, multi-task learning, reinforcement learning, and large language model (LLM) integration-ensuring high availability and low latency.
  • Balance Innovation and Execution: Establish rigorous frameworks for A/B testing, model evaluation, and guardrails to ensure algorithmic changes measurably improve customer trust and retention without introducing regression.

What We're Looking For
  • Proven Leadership: 8+ years of experience in machine learning and software engineering, with 4+ years of experience managing teams
  • Domain Expertise: A strong track record of shipping ML systems at scale, specifically in areas like personalization, recommendation system, information retrieval, or behavioral modeling.
  • Product-Minded Engineering: A deep understanding of how technical ML metrics (e.g., accuracy, NDCG, precision-recall) connect to macro user and business metrics (e.g., retention, lifetime value).
  • Strategic Communication: Ability to articulate complex technical concepts clearly to non-technical executives and cross-functional partners.
  • Technical Foundations: An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

Gross pay annually, Mountain View, SF/Bay: $250,300 - $325,400
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.
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