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Associate Machine Learning Jobs in Raleigh, NC (NOW HIRING)

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these ... PhD in computer science, data science, artificial intelligence, machine learning or related fields.

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these ... PhD in computer science, data science, artificial intelligence, machine learning or related fields.

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these ... PhD in computer science, data science, artificial intelligence, machine learning or related fields.

AstraZeneca

Agentic AI Scientist

Durham, NC

We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these ... PhD in computer science, data science, artificial intelligence, machine learning or related fields.

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Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Raleigh, NC

Associate Machine Learning information

See Raleigh, NC salary details

$30.6K

$129.3K

$305.7K

How much do associate machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for associate machine learning in Raleigh, NC is $129,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Associate Machine Learning jobs in Raleigh, NC? For Associate Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Associate Machine Learning jobs? Cities near Raleigh, NC with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you

Staff Research Scientist - Artificial Intelligence Engineer

ARA

Raleigh, NC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Applied Research Associates, Inc. (ARA) is seeking a Staff Research Scientist specializing in artificial intelligence, machine learning, and computer vision software. The role involves researching, developing, testing, and deploying AI solutions to address complex challenges for the US defense and intelligence communities.
Responsibilities:
• Research, develop, test and deploy artificial intelligence, machine learning and computer vision software.
• Process and integrate data from different sources, including satellites, unmanned aerial vehicles, ground vehicles, human-wearables, and smart devices.
• Enjoy a challenging technical career with opportunities for personal growth.
• Team player able to communicate technical results effectively to others.
Qualifications:
Required:
• US citizenship required (green card holders are not eligible for this position)
• Eligibility to apply for and hold a U.S. security clearance (selected applicants will undergo a security investigation and must meet eligibility requirements at the time of employment)
• BS Degree in Computer Science, Electrical Engineering, or similar technical field along with 2-4 years of experience OR MS degree with 0-2 years of experience
• Strong foundation and experience using AI/ML frameworks (TensorFlow, PyTorch) and software libraries (jax, scikit-learn, hugging-face, ollama, langchain, langgraph, or similar)
• Experience in software development in Python and C/C++
• Solid mathematical background in linear algebra and probability theory
• Experience working with AWS cloud computing
• Experience with collaborative software development and version control (Git)
• Proficiency in one of the following areas: mathematics, physics, robotics, sensor fusion, machine learning, computer vision or signal processing
Preferred:
• Experience working with AWS, S3, Docker and Kubernetes
• Experience developing software for execution on edge devices (GPUs, mobile phones, deployed CPU)
• Experience working with and flying Class I unmanned aerial vehicles (UAVs)
• Experience writing technical proposals
• Experience working on intelligence and DoD programs
Company:
ARA provides research, engineering, and technical support services. Founded in 1979, the company is headquartered in Albuquerque, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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