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Contract Meta Machine Learning Jobs in Raleigh, NC

Sennos

Data Engineer

Durham, NC · On-site

$110.60K - $132.90K/yr

Create and optimize datasets and views to support analytics, reporting, machine learning, and ... Support the enforcement of data contracts between source systems and the warehouse * Assist in ...

Jaggaer

AI/ML Intern

Durham, NC

The result is a fluid supply chain driven by powerful spend analysis, comprehensive contract ... machine learning concepts, NLP, and deep learning architectures. · Familiarity with vector ...

New

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch ... Unit/integration tests for data and models, contract tests for features, reproducible training ...

Labcorp

Senior Director, Marketing Technology

Durham, NC · Hybrid

... machine learning, and generative AI. Applicants who live within 35 miles of either the Burlington ... Manage vendor relationships, contracts, and budgets for marketing technology providers. Data and ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... Design, develop, and deploy machine learning models for prediction, classification, clustering, and ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... Design, develop, and deploy machine learning models for prediction, classification, clustering, and ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... Design, develop, and deploy machine learning models for prediction, classification, clustering, and ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... machine learning models for prediction, classification, clustering, and time-series analysis. • ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ... machine learning models for prediction, classification, clustering, and time-series analysis. • ...

Varsity Tutors

Python Tutor

Raleigh, NC · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Python Tutor

Chapel Hill, NC · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Python Tutor

Durham, NC · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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How much do contract meta machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for contract meta machine learning in Raleigh, NC is $20.73, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $22.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

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 Contract Meta Machine Learning jobs in Raleigh, NC? For Contract Meta Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Contract Meta Machine Learning jobs in Raleigh, NC are:
Contract Meta Machine Learning jobs near you
AI Product Manager (Renewable Energy)

AI Product Manager (Renewable Energy)

Cypress Creek Renewables

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

The Company
Cypress Creek Energy is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us.
Overview
Cypress Creek Energy is seeking an experienced AI Product Manager / Engineer to drive the development and deployment of artificial intelligence and machine learning solutions across our solar project development lifecycle. This is a high-impact, cross-functional role sitting at the intersection of renewable energy domain expertise and advanced technology. Reporting directly to the Chief Technology Officer, you will own the product roadmap for AI-powered tools that streamline site selection, EPC procurement and management, interconnection analysis, and construction oversight.
The ideal candidate brings a rare combination of hands-on experience in solar development-including navigating EPC contracts, interconnection queues, and greenfield site assessment-and proven ability to translate complex business problems into scalable AI/ML products. You will partner closely with project development, engineering, and operations teams to identify high-value automation and intelligence opportunities, then lead end-to-end delivery.
Responsibilities
AI Product Strategy & Roadmap
  • Define and own the AI product roadmap aligned with CCRenew's solar development pipeline strategy and CTO vision.
  • Identify opportunities to apply machine learning, computer vision, geospatial AI, and predictive analytics across the development lifecycle.
  • Translate domain pain points in site selection, EPC management, interconnects, and construction into structured, prioritized product requirements.
  • Build and maintain stakeholder alignment across development, engineering, finance, and legal teams.

Site Selection & Geospatial Intelligence
  • Lead development of AI-driven site screening and scoring tools that evaluate land availability, solar irradiance, transmission proximity, environmental constraints, and permitting risk.
  • Integrate geospatial data sources (LiDAR, satellite imagery, GIS layers) into automated site analysis workflows.
  • Build predictive models for site feasibility scoring that reduce manual assessment time and improve go/no-go decision quality.

Interconnection & Transmission
  • Develop AI tools to model and forecast interconnection queue positions, study timelines, and upgrade cost scenarios across MISO, PJM, CAISO, ERCOT, and other ISOs/RTOs.
  • Build automated monitoring systems for regulatory queue changes, FERC Order compliance, and interconnection agreement milestones.
  • Apply NLP and document intelligence to process study results, interconnection agreements, and utility correspondence at scale.

EPC & Procurement Intelligence
  • Design AI-powered tools for EPC bid analysis, contract risk scoring, and subcontractor performance benchmarking.
  • Develop cost estimation and variance prediction models informed by equipment pricing trends, labor markets, and project-specific variables.
  • Automate review of EPC contracts, change orders, and scope documents using large language model (LLM) pipelines.

Construction Monitoring & Project Controls
  • Build AI solutions for real-time construction progress tracking using drone imagery, IoT sensor data, and project management integrations.
  • Develop schedule risk and delay prediction models that surface issues early and recommend mitigation actions.
  • Create automated reporting and alerting systems that consolidate field data, RFI logs, inspection records, and milestone tracking.

Engineering & Technical Leadership
  • Architect and, where required, directly engineer ML pipelines, data ingestion systems, and model deployment infrastructure.
  • Partner with data engineering and software engineering to ensure production-grade reliability, scalability, and security of AI systems.
  • Establish model monitoring, drift detection, and retraining workflows for deployed models.
  • Evaluate and integrate third-party AI tools, APIs, and vendor platforms relevant to the solar development stack.

Required Qualifications
Renewable Energy Domain Expertise
  • 7+ years of direct experience in solar energy, with significant time spent in the development phase of utility-scale projects.
  • Deep familiarity with the full solar development lifecycle: site control, permitting, interconnection, EPC procurement, construction, and commercial operations.
  • Hands-on experience navigating interconnection processes with one or more ISOs/RTOs (MISO, PJM, CAISO, SPP, ERCOT, NYISO, or Southeast utilities).
  • Working knowledge of EPC contract structures, lump-sum vs. cost-plus arrangements, LD provisions, and construction risk allocation.
  • Understanding of solar site selection criteria including GHI/DNI analysis, land use constraints, transmission access, and environmental review processes.

AI / Technology Skills
  • Proven track record delivering AI or ML products from concept through production deployment.
  • Proficiency in Python and familiarity with core ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, or similar).
  • Experience with geospatial data analysis (GeoPandas, QGIS, ArcGIS, Google Earth Engine, or equivalent).
  • Familiarity with LLM application development, prompt engineering, and RAG architectures for document intelligence use cases.
  • Comfort working with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure (Snowflake, dbt, Spark, Airflow).

Product & Leadership Skills
  • Demonstrated ability to own a product roadmap and drive delivery in a fast-paced, cross-functional environment.
  • Strong written and verbal communication skills; ability to present complex technical concepts to non-technical stakeholders, including C-suite.
  • Experience working in or alongside development, engineering, or project finance teams at an IPP, developer, or EPC firm.
  • Embrace and live by the mission and values of Cypress Creek Renewables.

Preferred Qualifications
  • Master's degree or PhD in Computer Science, Data Science, Electrical Engineering, Environmental Science, or a related field.
  • Prior experience in a product manager or technical product lead role at a renewable energy company, energy tech startup, or utility.
  • Familiarity with FERC regulations, NERC standards, and state-level renewable energy policy frameworks.
  • Experience with computer vision or remote sensing applications (e.g., aerial/satellite image analysis for construction progress or land assessment).
  • Knowledge of energy storage (BESS) co-location development and its impact on interconnection and site planning.
  • Background in power flow modeling or transmission planning tools (PSS/E, PowerWorld, PSCAD).
  • Experience with project management platforms such as Procore, Oracle Primavera, or similar construction management tools.

Qualified candidates are encouraged to submit a resume and a brief cover letter describing their solar development experience and vision for AI in the energy sector.
Location: The preferred location for this role is Durham, NC. Our team operates on a hybrid schedule, with in-office schedule of three days per week.
Benefits:
  • 15 days of Paid Time Off, accrual up to 20 days, 11 observed holidays.
  • 401(k) Match
  • Comprehensive package including medical, dental, vision and health insurance
  • Wellness stipend, family planning stipend, and generous parental leave
  • Tuition Reimbursement
  • Phone Bill Reimbursement
  • Company Swag

A note to Recruiting Agencies, Cypress Creek Energy Human Resources team does not accept unsolicited resumes from third party recruiters, staffing firms, or related agencies. The Human Resources team coordinates all recruiting and hiring at our company. We do not accept resumes from third-party recruiters unless authorized by the Human Resources team and if a signed agreement is in place. Any unsolicited resumes will be considered property of CCR and we are not responsible for any related fees. All communication related to recruiting partnerships should ONLY be directed to the Human Resources team.
Cypress Creek Energy is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.
Please be aware of recruiting scams-official communications will only come from @cypresscreekenergy.com, we will never request personal or financial information, and any suspicious activity should be reported to HR@ccrenew.com.

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