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Director Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Astrazeneca

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core-for example: intelligent automation ...

AstraZeneca

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

Lead AI-Native product development Architect the product with AI and machine learning at its core ... directors, biostatisticians, data managers, and regulatory professionals. Demonstrated ...

AstraZeneca GmbH

Product Director - Evinova

Durham, NC · On-site

$200 - $250/hr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core--for example: intelligent automation ...

AstraZeneca

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core-for example: intelligent automation ...

AstraZeneca

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core-for example: intelligent automation ...

AstraZeneca

Product Director - Evinova

Durham, NC · On-site

$225K - $235K/yr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core-for example: intelligent automation ...

AstraZeneca GmbH

Product Director - Evinova (Durham)

Durham, NC · On-site

$221K - $232K/yr

As Product Director, you will operate with significant autonomy and act as the general manager for ... Architect the product with AI and machine learning at its core--for example: intelligent automation ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... machine learning best practices. • Working with product leaders to apply data science solutions. • Leading small- to medium-sized teams (direct or indirect). Qualifications : Required : • ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... machine learning best practices. • Working with product leaders to apply data science solutions. • Leading small- to medium-sized teams (direct or indirect). Qualifications : Required : • ...

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Raleigh, NC

Director Machine Learning information

See Raleigh, NC salary details

$35K

$89.4K

$137.1K

How much do director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director machine learning in Raleigh, NC is $89,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $103,000.00 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.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC?

The most popular types of Machine Learning jobs in Raleigh, NC are:

What are popular job titles related to Director Machine Learning jobs in Raleigh, NC?

For Director Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Director Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Director Machine Learning jobs?

Cities near Raleigh, NC with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $89,361 per year, or $43 per hour.

IT, Director at Synopsys Morrisville, NC

Morrisville, NC • On-site

Downtown Boulder Partnership
11 - 50 employees
Learn more about Downtown Boulder Partnershipexternal

$150 - $200/hr

Other

Re-posted 5 days ago

Job description

IT, Director job at Synopsys. Morrisville, NC.

Senior Manager, Infrastructure Engineering

We seek a highly skilled Infrastructure Engineering Manager to lead our IaaS and Data Intelligence initiatives. The ideal candidate will have a strong background in infrastructure management, cloud services, data analytics, and software development lifecycle (SDLC) practices, focusing on delivering scalable and efficient infrastructure solutions integrating DevOps methodologies.

Responsibilities
  • Lead and manage a team of Infrastructure Automation Engineers and Data Specialists.
  • Develop and implement strategies for IaaS and Data Intelligence.
  • Lead the Design and Implementation of scalable big data solutions in the infrastructure efficiency and developer productivity realm.
  • Explore and leverage Generative AI (GenAI) and Machine Learning (ML) to enhance infrastructure management and developer productivity.
  • Integrate SDLC practices and DevOps methodologies into Infrastructure Engineering.
  • Collaborate with cross-functional teams to integrate IAAS & Data Intelligence solutions.
  • Utilize Analytics & Data Driven approaches to Monitor and Optimize Infrastructure costs and resource usage.
Qualifications
  • Managed infrastructure-focused engineering teams on Cloud and have multiple years of experience focusing on one or more of the following areas:
  • Build, Test, Deploy
  • Developer Productivity
  • Observability
  • Reliability Engineering
  • Cloud Infrastructure coupled with Infrastructure as Code
  • DevOps
  • Proven experience in infrastructure management, cloud services (AWS, Azure, GCP), and data analytics.
  • Strong leadership and project management skills.
  • Excellent problem-solving and analytical abilities.
  • Experience with automation and orchestration tools (e.g., Terraform, Python).
  • Knowledge of data analytics tools and platforms (e.g., Hadoop, Spark, Snowflake).
  • Proficiency in software development lifecycle (SDLC) and DevOps methodologies.
  • Familiarity with emerging technologies, including Machine Learning (ML) and Generative AI (GenAI), and their potential applications in infrastructure management and developer productivity.
  • Strong communication and interpersonal skills.
Leadership Requirements
  • Proven Leadership and Team Management skills.
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 10-15 years of experience in the relevant field.
  • Proven experience in driving strategic initiatives from ideation to fruition, embodying the full project execution lifecycle.

The base salary range across the U.S. for this role is between $146,000 - $220,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

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