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Senior Meta Machine Learning Jobs in Raleigh, NC

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Generate content for status meetings with customers as a senior technical contributor. * Research ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Generate content for status meetings with customers as a senior technical contributor. * Research ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Generate content for status meetings with customers as a senior technical contributor. * Research ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Generate content for status meetings with customers as a senior technical contributor. * Research ... Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn ...

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA Candidate should be local or ...

Senior ML Engineer If you're passionate about building a better future for individuals, communities ... Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning ...

The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff ... machine learning, privacy preserving system design, and more. You will be a hands on, technical ...

AIML - Staff Machine Learning Engineer Would you like to play a part in the next revolution in ... Description The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior ...

Description The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior ... machine learning, privacy preserving system design, and more. You will be a hands on, technical ...

Description The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior ... machine learning, privacy preserving system design, and more. You will be a hands on, technical ...

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Senior Meta Machine Learning information

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$24.3K

$78K

$158.9K

How much do senior meta machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior meta machine learning in Raleigh, NC is $78,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 per year, depending on experience, location, and employer.

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in Raleigh, NC? The most popular types of Meta Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Senior Meta Machine Learning jobs in Raleigh, NC? For Senior Meta Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Senior Meta Machine Learning jobs? Cities near Raleigh, NC with the most Senior Meta Machine Learning job openings:
Director of AI & Machine Learning

Director of AI & Machine Learning

Accentuate Staffing

Morrisville, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Accentuate Staffing is seeking a Director of AI & Machine Learning with strong strategic vision, deep hands‑on technical expertise, and a proven ability to build and lead high‑performing teams delivering scalable, ethical AI solutions. The ideal candidate will also excel at aligning advanced machine learning capabilities with business objectives and driving innovation across the organization.

Responsibilities:

Manage and Develop Staff

  • Responsible for establishing and implementing a safe working environment that meets all licensure, regulatory, and accreditation requirements
  • Lead, train and develop the members of the Artificial Intelligence team and assist them in delivering clear and actionable information
  • Develops plans to monitor and manage staff productivity and success in meeting assigned objectives
  • Ensure staff are well trained in policies, procedures, and business processes
  • Reviews, makes recommendations and implements the needed systems and tools to successfully fulfill corporate objectives and to support staff and team members
  • Lead the identification and development of the Artificial Intelligence Team roles, configuration and recruitment
  • Provide solution design guidance to the Artificial Intelligence team, ensuring delivery of best‑in‑class solutions for the challenges at hand
  • Leads ongoing coaching and mentoring to staff on new technology tools and practices, including change management practices, to support a learning environment to advance team skills
  • Ensure all staff are treated with respect and dignity
  • Ensure standards are transparent and applied consistently, impartially, and ethically over time and across all staff members
  • Work to resolve conflicts and disputes, ensuring that all participants are given a voice
  • Effectively communicate feedback and provide ongoing coaching and mentoring to staff and support a learning environment to advance team skills and professional development
  • Cultivate and encourage efforts to expand cross‑team collaboration and partnership

Oversee Artificial Intelligence Operations

  • Lead the development and implementation of AI/ML initiatives across the organization, ensuring alignment with business objectives and strategies
  • Collaborate with cross‑functional teams to design, build, and deploy AI/ML models and solutions
  • Oversee the collection, processing, and analysis of large datasets from various sources to fuel AI/ML models
  • Develop and maintain relationships with external partners, vendors, and academia to stay ahead of the curve in AI/ML innovation
  • Ensure the successful deployment of AI/ML solutions across the organization, including training, support, and ongoing maintenance
  • Foster a culture of innovation and experimentation, encouraging collaboration and knowledge sharing across the organization
  • Develop, define, and enforce best practices, processes, policies and system security to ensure alignment with all corporate strategy and goals

Communication and Collaboration

  • Lead in a consultant role in advising executive and senior leadership on complex and high‑risk strategic and contractual operational IT initiatives
  • Collaborate with leaders across the organization to help them understand and identify the value drivers to improve business operations and meet organizational objectives
  • Communicate corporate initiatives with both technical and non‑technical executives and other team members, using active leadership skills across project team and the business community
  • Develop cross‑departmental teams and analytics business application expertise throughout the organization
Requirements:
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and 5 (five) years of experience with increasing responsibilities in managing and supporting information technology
  • Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
  • Excellent analytical, strategic conceptual thinking, strategic planning and execution skills
  • Experience with AI/ML platforms and tools, such as TensorFlow or PyTorch
  • Experience with GenAI Models, such as Meta Llama and Mistral AI
  • Excellent verbal and written communication skills, including the ability to explain AI concepts
  • Planning and organizational skills
  • Demonstrated skills in Microsoft Project, Excel, Word, and PowerPoint and other commonly used software and data analysis software
  • Proven track record of delivering successful AI/ML projects and solutions
  • Strong business acumen, including industry, domain‑specific knowledge of the enterprise and its business units
  • Ability to identify and calculate risk levels and implement mitigation techniques.
  • Ability to work effectively with, manage, motivate and get results from diverse stakeholders, including executive and senior leadership.
  • Ability to work across multiple, distributed, functional groups
  • Specific experience with clinical management information systems is a plus.
  • Artificial Intelligence and Machine Learning
  • Productivity and reporting applications such as Data Analytics
  • Business processes and their interrelationship gained through 5 (five) or more years of related experience
  • Analyzing and resolving complex issues, both logical and interpersonal
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