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Associate Machine Learning Jobs in Virginia (NOW HIRING)

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for ... modeling, machine-learning methods, knowledge-graph and ontology-based scientific data ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

... Machine Learning (SciML). • Collaborating with members of the group as well as other stakeholders. • Performing modest service duties around missions of the group, such as training and engagement.

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Virginia

Associate Machine Learning information

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$23.4K

$122.9K

$301.2K

How much do associate machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate machine learning in Virginia is $122,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $170,300.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an associate machine learning engineer?

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 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 most commonly searched types of Machine Learning jobs in Virginia?

The most popular types of Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Associate Machine Learning jobs?

Cities in Virginia with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Postdoctoral Associate

Virginia Tech

Blacksburg, VA • On-site

Full-time

Re-posted 20 days ago

Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

Job Summary:
Virginia Tech is a leading global research institution dedicated to knowledge and creativity. They are seeking multiple full-time Postdoctoral Associates to develop agentic AI systems for computational catalysis and experimental design, collaborating with interdisciplinary research groups in materials discovery.
Responsibilities:
• Contribute to building AI-native frameworks that combine physics-based modeling, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems.
• Collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science.
Qualifications:
Required:
• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models.
• Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems.
• Demonstrated experience with agentic AI, including automated data curation, ML model integration, workflow orchestration, or AI-assisted experimental design.
• Proven ability to conduct independent research, collaborate across disciplines, and publish high-quality scientific work.
Company:
Virginia Tech is a public research university that offers a range of academic programs and conducts research across various fields. Founded in 1872, the company is headquartered in Blacksburg, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Virginia Tech employees say

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About Virginia Tech

Sourced by ZipRecruiter

Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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