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Entry Level Machine Learning Engineer Jobs in Cary, NC

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 ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and ... Develop and implement AI and machine learning strategies across several healthcare domains

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Participate in developing models using statistical or machine learning techniques and collaborate ... Prompt engineering & prompt chaining * Conversational AI design patterns * Strong programming ...

Futran Tech Solutions Pvt. Ltd.

DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

... s Engineer Location: Raleigh, North Carolina, USA, remote till covid. * 2-3 years pf experience ... UiPath, Blue Prism, PEGA), SQL, GIT, Docker, OpenShift/Kubernetes, Machine Learning based document ...

Pwc

US Tech - AI Engineering Senior Associate

Raleigh, NC · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Dewberry

Entry Level Site/Civil Engineer

Raleigh, NC · On-site

Position will require learning and becoming proficient in Dewberry engineering practices and ... Our entry-level program comes together on a regular basis for professional development events and ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Cary, NC

Entry Level Machine Learning Engineer information

See Cary, NC salary details

$28.1K

$64.9K

$110.4K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level machine learning engineer in Cary, NC is $64,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $73,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Cary, NC? The most popular types of Machine Learning Engineer jobs in Cary, NC are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Cary, NC? For Entry Level Machine Learning Engineer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Cary, NC look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Entry Level Machine Learning Engineer jobs? Cities near Cary, NC with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Cary, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $64,893 per year, or $31.2 per hour.
Software Engineer, AI Tools - Delegate

Software Engineer, AI Tools - Delegate

Qualcomm

Raleigh, NC • On-site

Full-time

Posted 6 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation and creates a smarter, connected future. They are seeking a Machine Learning Engineer to develop and implement advanced machine learning techniques for efficient AI inference on edge devices, contributing to the software design and development of the Qualcomm AI Runtime delegate.
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.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 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:
• 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
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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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