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Director Machine Learning Jobs (NOW HIRING)

Geico

Director, Machine Learning Engineering

Dallas, TX

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

GEICO

Director, Machine Learning Engineering

Palo Alto, CA · On-site

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

Geico

Director, Machine Learning Engineering

Seattle, WA

$150K - $300K/yr

Director - Runtime Intelligence & Personalization Overview We areseekinga strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

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How much do director machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director machine learning in the United States is $91,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.
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Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,932 per year, or $44.2 per hour.

Director, Machine Learning-Artificial Intelligence

Archer Daniels Midland

Erlanger, KY

Full-time

Posted 15 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

76th of 366 rated logistics

Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

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