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Machine Learning Postdoc Jobs in Dallas, TX (NOW HIRING)

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Research Scientist, Optics, Levi Lab

Dallas, TX · On-site

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Machine Learning Postdoc information

See Dallas, TX salary details

$21.7K

$112.5K

$211.7K

How much do machine learning postdoc jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning postdoc in Dallas, TX is $112,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,233.00 and $154,924.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the most commonly searched types of Machine Learning Postdoc jobs in Dallas, TX? The most popular types of Machine Learning Postdoc jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Postdoc jobs in Dallas, TX? For Machine Learning Postdoc jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Dallas, TX look for? The top searched job categories for Machine Learning Postdoc jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Postdoc jobs? Cities near Dallas, TX with the most Machine Learning Postdoc job openings:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $112,490 per year, or $54.1 per hour.
Research Associate - Mathematical Sciences

Research Associate - Mathematical Sciences

University of Texas at Dallas

Richardson, TX • On-site

$55K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

University Of Texas At Dallas rating

5.6

Company rating: 5.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

513th of 544 rated colleges and universities

Job description

Posting Details
Posting Details
Posting Number
S07016P
Position Title
Research Associate - Mathematical Sciences
Functional Title
Department
Mathematical Sciences
Salary Range
$55,000 - $57,000; depending on qualifications
Pay Basis
Monthly
Position Status
Regular full-time
Location
Richardson
Position End Date (if temporary)
Posting Open Date
05/27/2026
Posting Close Date
Open Until Filled
No
Desired Start Date
08/01/2026
Job Summary
A postdoctoral Research Associate position in statistics is available in the Department of Mathematical Sciences at the University of Texas at Dallas. Dr. Jiayi Wang is seeking highly motivated candidate with expertise in statistical learning and machine learning, both theoretical and computational.
Minimum Education and Experience
Ph.D in a related field.
Candidates who have successfully completed all requirements for the Ph.D. but whose degree has not yet been formally conferred may be eligible to begin employment provided they submit an official letter from the Registrar or Graduate School of the degree-granting institution certifying that all doctoral requirements have been satisfied and specifying the expected date of conferral. Appointment and continued employment are contingent upon formal conferral of the Ph.D.
Preferred Education and Experience
PhD in related fields.
Other Qualifications
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities
The selected candidate is expected to conduct research in the following areas:
  • Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic developments for Continuous-time RL.
  • Missing Data Problems: Novel imputation and inference techniques in various missing data problems.
  • Statistical Inference with Modern Generative Models: Theory and methodology for diffusion models and other deep generative models; Uncertainty quantification, robustness, and efficiency in generative modeling; Applications in scientific and industrial domains.

Physical Demands and Working Conditions
Physical Activities
Working Conditions
Additional Information
Work is conducted onsite and in-person.
What We Can Offer
UT Dallas is an Equal Opportunity Employer, we offer an employee-friendly work environment with a comprehensive benefits package including:
  • Competitive Salary
  • Tuition Benefits
  • Internal Training
  • Medical insurance - including 100% paid employee medical coverage for full-time employees
  • Dental Insurance
  • Vision Insurance
  • Long and short-term disability
  • Retirement Plan Options
  • Paid time off
  • Paid Holidays

All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.
Visit https://hr.utdallas.edu/empoloyees/benefits/ for more information.
Special Instructions Summary
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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