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

Microsoft

Director, Silicon Design

Raleigh, NC · On-site

We are looking for a Director, Silicon Design to join the team. Responsibilities * Responsible for ... Experience of working on Artificial Intelligence (AI) / Machine Learning (ML) SoCs * Experience in ...

Cisco

Senior Director, Product Marketing

Cary, NC · On-site

$284K - $390K/yr

Senior Director, Product Marketing Meet the Team Cisco is seeking a visionary, high-impact Senior ... Demonstrated experience applying AI and machine learning concepts, networking fundamentals, and ...

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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.

Director of Engineering - AI Solutions

Morrisville, NC • On-site

NetApp, Inc.
IT Services • 10K+ employees
Learn more about NetApp, Inc.external

$236K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 501 rated business services

Job description

Executive Summary
We are looking for an innovative Director of Engineering - AI Solutions for Developer Productivity to transform how our software engineers build, test, and deploy code. In this high-impact role, you will lead the strategy and execution of AI-driven platform tools, intelligent coding assistants, automated code review agents, and automated pipeline workflows. Your goal is to build an internal AI ecosystem that removes developer friction, eliminates repetitive tasks, and measurably boosts engineering velocity across our global technology team.
Key Responsibilities
AI Developer Tooling Strategy
• Internal Platform Roadmap: Define and drive the vision for AI-infused internal developer tools, including LLM code-generation assistants, intelligent CI/CD diagnostic agents, automated code migration tooling, and dynamic documentation systems.
• Productivity Metrics (Core 4, DORA & SPACE): Use established Developer Experience KPIs to introduce AI initiatives/solutions that increase overall engineering output.
Team Leadership & Platform Delivery
• Engineering Management: Lead, recruit, and mentor a team of Machine Learning/AI Engineers (builders, scalers and maintainers) to work closely with the Platform Engineers, and DevEx Engineers to develop AI based productivity solution.
• Ecosystem Integration: Partner with Infrastructure, DevEng, and Security teams to seamlessly integrate AI tools into developer IDEs, version control systems, and CI/CD pipelines.
• Prompt & Context Architecture: Oversee the architecture of code indexing, vector databases, and Retrieval-Augmented Generation (RAG) pipelines that feed repository context securely into internal LLMs.
Governance, Security & Adoption
• Code Privacy & Security: Work closely with Security and Compliance to implement AI based solution that enforce guardrails around IP protection, secret scanning, license compliance, and secure code generation.
• Change Management & Enablement: Champion the adoption of AI tools across engineering teams; establish internal training programs, hackathons, and best practices to help every engineer become an AI-augmented developer.
Qualifications and Skills
Technical Expertise
• AI & LLM Integration: 3+ years integrating Generative AI, code-trained LLMs, or agentic frameworks such as LangChain, AutoGen, LiteLLM, Kong, TrueFoundry or custom RAG pipelines into practical developer workflows.
• Software & Platform Foundations: 8+ years of core software engineering experience, with a background in Developer Experience (DevEx), Internal Developer Platforms (IDP), or CI/CD infrastructure.
• Developer Ecosystems: Deep familiarity with modern IDEs, AI Code Assist, quality and security AI code scanning tools, AI solutions for test harness, code review, etc.
• System Architecture: Solid understanding of vector search engines, embedding models for code representation, and LLM fine-tuning techniques.
Leadership & Soft Skills
• Leadership Track Record: 5+ years managing engineering teams at the Engineering Manager, Senior Manager, or Director level, with a strong emphasis on platform engineering or internal tooling.
• Developer Empathy: Passion for developer productivity, developer satisfaction, and eliminating operational friction.
• Data-Driven Approach: Experience using metrics to measure productivity gains and cost efficiency without compromising code quality or developer well-being.
Compensation:
The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

What NetApp employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US

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