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Contract Meta Machine Learning Jobs in Raleigh, NC

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

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 ...

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 ...

Marpai Administrators LLC

Stoploss Coordinator

Cary, NC · Remote

$50K - $80K/yr

... learning and machine learning to maximize population health outcomes with the greatest cost ... Strong ability to read stop loss contracts * Analyze reports to determine data integrity issues ...

Red River

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

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. • ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

New

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. • ...

Computer Task Group, Inc

Software Engineer II

Durham, NC · On-site

$45 - $48/hr

Contract Job Title: Software Engineer II Location: Durham, NC (hybrid remote) Candidates must be ... machine learning, and reporting systems across various Corning divisions. You will be responsible ...

Computer Task Group, Inc

Software Engineer II

Durham, NC · On-site

$45 - $48/hr

Contract Job Title: Software Engineer II Location: Durham, NC (hybrid remote) Candidates must be ... machine learning, and reporting systems across various Corning divisions. You will be responsible ...

Kitware

Software Engineer

Carrboro, NC · On-site

$75K - $95K/yr

Familiarity both classical and modern (deep learning) machine learning, including model selection ... contract with Kitware to have been referred free of any charges or fees. If you need assistance ...

Kitware

Software Engineer

Carrboro, NC · On-site

$75K - $95K/yr

Familiarity both classical and modern (deep learning) machine learning, including model selection ... contract with Kitware to have been referred free of any charges or fees. If you need assistance ...

Kitware

Software Engineer

Carrboro, NC

$75K - $95K/yr

Familiarity both classical and modern (deep learning) machine learning, including model selection ... contract with Kitware to have been referred free of any charges or fees. If you need assistance ...

Varsity Tutors

Python Tutor

Durham, NC · Remote

$18 - $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

Raleigh, NC · Remote

$18 - $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

$18 - $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

Statistics Graduate Level Tutor

Raleigh, NC · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Business Analytics Tutor

Durham, NC · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Raleigh, NC

Contract Meta Machine Learning information

See Raleigh, NC salary details

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

As of Jul 10, 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 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 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 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:
What cities near Raleigh, NC are hiring for Contract Meta Machine Learning jobs? Cities near Raleigh, NC with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Data Scientist

Data Scientist

Advance Auto Parts, Inc.

Raleigh, NC • On-site

Full-time

Posted 14 days ago

Job description

Job Description
Role Summary
We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC
Key Responsibilities
  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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https://jobs.advanceautoparts.com/us/en/disclosures
Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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