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Junior Full Stack Machine Learning Engineer Jobs in North Carolina

Bespoke Labs

Machine Learning Engineer

Greensboro, NC · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Elon, NC · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Raleigh, NC

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

The Hartford

Sr AI Machine Learning Engineer

Charlotte, NC · Hybrid

$117K - $175K/yr

Our products are delivered with a full monitoring solution to ensure our products continue to ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Globant

Full Stack Engineer

Raleigh, NC · On-site

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Tihinsurance

Machine Learning Engineer

Morrisville, NC · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Tihinsurance

Machine Learning Engineer

Charlotte, NC · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Compunnel

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

Job Summary The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role ...

Socket.dev

Senior Machine Learning Engineer

Charlotte, NC · On-site

$135 - $169/hr

We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our ...

CGI Inc.

Sr. Full Stack Engineer

Durham, NC · On-site

... Experience mentoring junior engineers and contributing to engineering best practices. • ... Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Amazon ...

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All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in North Carolina

Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in North Carolina?

The most popular types of Full Stack Machine Learning Engineer jobs in North Carolina are:

What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in North Carolina?

For Junior Full Stack Machine Learning Engineer jobs in North Carolina, the most frequently searched job titles are:

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The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in North Carolina are:

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Cities in North Carolina with the most Junior Full Stack Machine Learning Engineer job openings:

Junior Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Greensboro, NC • On-site

Full-time

Re-posted 20 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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