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$59K

$83.5K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for postdoctoral fellow machine learning in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
More about Postdoctoral Fellow Machine Learning jobs
What cities are hiring for Postdoctoral Fellow Machine Learning jobs? Cities with the most Postdoctoral Fellow Machine Learning job openings:
What states have the most Postdoctoral Fellow Machine Learning jobs? States with the most job openings for Postdoctoral Fellow Machine Learning jobs include:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs are:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Fellow 0

Houston Methodist Academic Institute

Houston, TX

$46K - $63K/yr

Full-time

Re-posted 2 days ago

Job description

At Houston Methodist, the Postdoctoral Fellow position is responsible for performing basic research duties under the supervision/direction of a Physician and/or Principal Investigator. This position may work in a laboratory setting or may consist of computer work that supports the department's research mission.
FLSA STATUS
Exempt
QUALIFICATIONS
EDUCATION
  • Postdoctoral Fellow 0, 1, 2, 3, 4 – Doctor of Medicine (MD) from an accredited medical school or Terminal Degree in a related field (A letter from the academic institution certifying that all student work is complete will be considered for Postdoctoral Fellow 0 only.)

EXPERIENCE
  • Postdoctoral Fellow 0 – None Postdoctoral Fellow 1 – One year of Postdoc experience Postdoctoral Fellow 2 – Two years’ Postdoc experience Postdoctoral Fellow 3 – Three years’ Postdoc experience Postdoctoral Fellow 4 – Four years’ Postdoc experience

SKILLS AND ABILITIES
  • Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through on-going skills, competency assessments, and performance evaluations
  • Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
  • Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
  • Demonstrated knowledge of biomedical research
  • Ability to work effectively in a fast-paced environment
  • Demonstrates flexibility and adaptability in the workplace

ESSENTIAL FUNCTIONS
PEOPLE ESSENTIAL FUNCTIONS
  • Assists the physician in maintaining the functionality and operations of the Principal Investigator’s (PI) laboratory.
  • Promotes a positive work environment and leads the team to be dynamic and a focused work unit that actively helps one other to achieve optimal department results. Collaborates with all members of the department by actively communicating and reporting data in a comprehensive manner.
  • Role models to team members effective verbal, non-verbal and written communication, which includes active listening and teaching, assisting in development of such skills.
  • Provides contributions towards improvement of department scores for employee engagement, i.e. peer-to-peer accountability.

SERVICE ESSENTIAL FUNCTIONS
  • Develops research methods and performs research activities.
  • Documents research results and writes reports of results for presentation and/or publication in professional journals and other publications.

QUALITY/SAFETY ESSENTIAL FUNCTIONS
  • Follows all safety rules while on the job. Reports accidents promptly and corrects minor safety hazards. Communicates with peers and management regarding any hazards identified in the workplace.
  • Assists with implementation and education of department-based safety initiatives, standards of practice and protocols. Develops skills of team members and continually assists with improving skills, performance and outcomes.
  • Identifies opportunities for corrective action and process improvement providing recommendations and contributes to meeting department and laboratory targets for quality and safety.

FINANCE ESSENTIAL FUNCTIONS
  • Utilizes resources effectively and efficiently, demonstrating responsible financial stewardship. Manages own time effectively and prioritizes work to achieve maximum results in a timely manner.
  • Uses resources efficiently; does not waste supplies. Self-motivated to independently manage time effectively and prioritize daily tasks.

GROWTH/INNOVATION ESSENTIAL FUNCTIONS
  • Participates in pertinent research activities and evidenced-based practice projects. Participates in departmental projects and activities. Acts as a change agent.
  • Seeks opportunities to expand learning beyond baseline competencies with a focus on continual development. Remains current on professional issues and clinical skills. Completes and updates the My Development Plan on an on-going basis. Ensures own career discussions occur with appropriate management.

SUPPLEMENTAL REQUIREMENTS
    WORK ATTIRE
    • Uniform: No
    • Scrubs: Yes
    • Business professional: No
    • Other (department approved): Yes

    ON-CALL*
    *Note that employees may be required to be on-call during emergencies (ie. Disaster, Severe Weather Events, etc) regardless of selection below.
    • On Call* No

    TRAVEL**
    **Travel specifications may vary by department**
    • May require travel within the Houston Metropolitan area No
    • May require travel outside Houston Metropolitan area No
QUALIFICATIONS
EDUCATION
  • Postdoctoral Fellow 0, 1, 2, 3, 4 – Doctor of Medicine (MD) from an accredited medical school or Terminal Degree in a related field (A letter from the academic institution certifying that all student work is complete will be considered for Postdoctoral Fellow 0 only.)

EXPERIENCE
  • Postdoctoral Fellow 0 – None Postdoctoral Fellow 1 – One year of Postdoc experience Postdoctoral Fellow 2 – Two years’ Postdoc experience Postdoctoral Fellow 3 – Three years’ Postdoc experience Postdoctoral Fellow 4 – Four years’ Postdoc experience

Company Profile:

Houston Methodist Academic Institute oversees the Education Institute and Research Institute. The Academic Institute aligns our research and education initiatives in service to the clinical mission, providing solutions that answer the call for new technologies and skills our clinicians need for patient care. Houston Methodist Education Institute coordinates our primary academic affiliation with Weill Cornell Medicine and other joint programs, including the Engineering Medicine Program at Texas A&M University Intercollegiate School of Engineering Medicine. The Education Institute also oversees continuing medical education and graduate medical education, and supports trainees in residence for medical, nursing, allied health and research education programs. Houston Methodist Research Institute supports research programs and infrastructure that enable faculty across the system to bring new scientific discoveries to patients as rapidly as possible through the full cycle of a cure from conceptual bench research, to prototyping and development, to clinical trials and FDA approval. The Research Institute supports clinical research protocols and extramurally funded translational research programs.

Houston Methodist is an Equal Opportunity Employer.

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