ZipRecruiter

Log In

1

Associate Machine Learning Jobs in Virginia (NOW HIRING)

Virginia Tech

Research Associate

Blacksburg, VA · On-site

Research Associate Apply now Back to search results Job no: 537382 Work type: Research Faculty ... Experience with research projects in the fields of AI and/or Machine Learning Excellent ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 536321 Work type: Research Faculty ... 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.

previous pagenext page

Showing results 21-40

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Virginia

Associate Machine Learning information

See Virginia salary details

$23.4K

$122.9K

$301.2K

How much do associate machine learning jobs pay per year?

As of Sep 8, 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 Research Associate

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 21 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

212th of 631 rated colleges and universities

Job description

We are looking for a highly motivated Postdoctoral Research Associate to join the Platig Lab at the University of Virginia. The candidate would be part of an interdisciplinary team of computational biologists, data scientists, and RNA biologists investigating the role of alternative splicing in Type 1 Diabetes (T1D). The project will leverage large-scale generation (400+ samples) of long-read RNA-seq from CD4+ T cells in a T1D cohort across multiple time points. A core aim of this project will be to develop interpretable machine learning approaches to understand how RNA binding proteins (RBPs) regulate observed splicing changes and to test putative mechanisms experimentally.
This is a unique opportunity to work at the intersection of machine learning, RNA biology, and immunology, with translational relevance to T1D.
Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period
This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
Responsibilities
  • Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
  • Develop machine learning methods to predict functional RNA regulatory elements
  • Collaborate with wet-lab partners to design follow-up experiments
  • Publish findings and present at national conferences
  • Contribute to grant writing and mentorship of graduate students

Minimum Qualifications
  • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
  • Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
  • Experience using machine learning techniques in genomics
  • Strong publication record
  • Ability to communicate computational techniques to a broad audience

Preferred Qualifications
  • Experience modeling RNA binding proteins
  • Familiarity with T1D
  • Experience with machine learning interpretability approaches (xAI)

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary will be commensurate with education, experience, and NIH guidelines.
This is an Exempt-level, benefitted position. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application review/deadline This position will remain open until filled.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
Please apply online through Online and search for R0083627. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the application process, please contact Bill Crane, Xer5ff@virginia.edu.
For questions about the position, please contact Jennifer Dean, jmdean@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

What University Of Virginia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Virginia logo

About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

View All University of Virginia Jobs

Apply