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Machine Learning Engineer Hybrid Jobs in Bailey, NC

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC

$101K - $139K/yr

... hybrid cloud infrastructure. These solutions are powered by engineering for business advantage ... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99K - $131K/yr

... hybrid cloud infrastructure. These solutions are powered by engineering for business advantage ... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ...

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC

... hybrid cloud infrastructure. These solutions are powered by engineering for business advantage ... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking for an experienced CI Infrastructure Engineer to own and evolve the continuous integration (CI ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists and Machine Learning Engineers - with a goal to convert as a true Lead. For the contract duration, you ...

Pwc

AI Solutions Engineering Delivery Lead

Raleigh, NC · On-site

$99K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

DPR Construction

MLOps Engineer

Raleigh, NC

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

We are looking for a MLOps Engineer to join our team and contribute to developing robust data solutions to support our Machine Learning, Data Science, Data Engineering and Software Engineering.

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Showing results 21-40

All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Bailey, NC

Machine Learning Engineer Hybrid information

See Bailey, NC salary details

$22.3K

$91.2K

$137.1K

How much do machine learning engineer hybrid jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer hybrid in Bailey, NC is $91,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $109,800.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What cities near Bailey, NC are hiring for Machine Learning Engineer Hybrid jobs? Cities near Bailey, NC with the most Machine Learning Engineer Hybrid job openings:
Machine Learning Engineer Hybrid jobs near you
Infographic showing various Machine Learning Engineer Hybrid job openings in Bailey, NC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $91,237 per year, or $43.9 per hour.

Software Engineer, AI Tools - Delegate

Qualcomm

Raleigh, NC • On-site

Full-time

Re-posted 5 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Job Description
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position you will be responsible for contributing to the software design and development of the Qualcomm AI Runtime (QAIRT) delegate for both the ExecuTorch, ONNX Runtime and LiteRT frameworks enabling efficient AI inference on edge devices. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. You will participate in the agentic transformation of Qualcomm's development and tooling workflow.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Additional Job Description
Responsibilities
  • Design and develop the graph compilation stack that lowers the ExecuTorch Edge IR, ONNX and LiteRT graphs to QAIRT APIs.
  • Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
  • Validate and optimize the performance and accuracy of software through detailed analysis and testing of machine learning use cases.
  • Debug complex issues, perform root cause analysis, and ensure high system reliability.
  • Participate in the team's adoption of agentic AI workflows - leveraging tools such as Claude Code, or similar frameworks - to help automate testing, benchmarking, and development activities.
  • Participate in design and code reviews.

Minimum Qualifications
  • 2+ years software development experience using C/C++/Python
  • Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
  • Strong communication skills (verbal, presentation, written)
  • Foundational knowledge of Machine Learning and Deep Learning
  • Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX

Preferred Qualifications
  • 1+ years Python programming experience
  • Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
  • Experience with Graph Compilation technologies, like MLIR, a plus
  • Familiarity with ExecuTorch, TorchAO, and other related technologies in the PyTorch ecosystem
  • Familiarity with TfLite, LiteRT, TF, and other related technologies in the TF ecosystem
  • Familiarity with GenAI model architectures - LLM, LVM, LMM
  • Experience with optimizing software, specifically AI graph workloads, for embedded platforms
  • Interest in or exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
  • Ability to collaborate across a globally diverse team and multiple interests

Education Requirements
  • Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Preferred: Master's in Computer Science or Computer Engineering

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$110,600.00 - $165,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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