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Remote Internship Machine Learning Engineer Jobs in North Carolina

Duke University

Learning Technology Engineer

Durham, NC · On-site +1

Work Arrangement This position follows a hybrid work arrangement, with up to 80% remote work ... machines, Jupyter environments, Git, and other academic technology tools. Choose Duke. Join a team ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

New

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All JobsMachine Learning Engineer JobsRemote Internship Machine Learning Engineer JobsRemote Internship Machine Learning Engineer Jobs in North Carolina

Remote Internship Machine Learning Engineer information

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

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Remote Internship Machine Learning Engineer jobs near you

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Charlotte, NC • On-site, Remote

Full-time

Posted 5 days ago

Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Apply