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Machine Learning Postdoc Jobs (NOW HIRING)

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site

$110K - $150K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

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$114K

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How much do machine learning postdoc jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning postdoc in the United States is $113,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $157,000.00 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.

More about Machine Learning Postdoc jobs
What cities are hiring for Machine Learning Postdoc jobs? Cities with the most Machine Learning Postdoc job openings:
What are the most commonly searched types of Machine Learning Postdoc jobs? The most popular types of Machine Learning Postdoc jobs are:
What states have the most Machine Learning Postdoc jobs? States with the most job openings for Machine Learning Postdoc jobs include:
What job categories do people searching Machine Learning Postdoc jobs look for? The top searched job categories for Machine Learning Postdoc jobs are:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $113,997 per year, or $54.8 per hour.
Postdoctoral Scholar - Machine Learning for Extreme Weather Events

Postdoctoral Scholar - Machine Learning for Extreme Weather Events

University of Washington

Seattle, WA • On-site

$6K - $6K/mo

Full-time

Posted 8 days ago

University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

173rd of 535 rated colleges and universities

Job description

Description
Professor Greg Hakim in the Department of Atmospheric and Climate Science at the University of Washington is seeking a full-time (100% FTE) postdoctoral scholar to investigate extreme events in historical climate. Building on reconstructions of the climate of the last millennium, we seek to understand the range of variability of extreme heatwaves, coldwaves, tropical cyclones and other weather events. This research involves the use of machine-learning weather models for sampling these extreme events conditioned on the climate state. This position is part of a larger team spread across three universities with the common goal of understanding weather events constrained by historical climate variability.
This position is full-time (100% FTE) with an initial term appointment of one year (12 months), renewable depending on funding and/or satisfactory performance for a total period of up to 2 years. The salary for this position will be $6,681-$6,761 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. The position is available starting March 6, 2026. The review process will commence immediately upon receipt of applications and will continue until filled. The anticipated start date is June 1, 2026. Priority consideration will be given to applications received by April 1, 2026.
Postdoctoral scholars at UW are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
Postdoctoral scholars are engaged in full-time, mentored advanced training to enhance professional skills and research independence. Given the close mentoring relationship necessitated by the nature of postdoctoral scholar appointments; access to the full university community to support individual development; and, if applicable, visa sponsorship requirements, postdoctoral scholars must be physically present at their place of work on University property to fulfill their appointment duties.
University of Washington postdoctoral scholar appointments are for a temporary, defined period not to exceed five years/60 months, including any previous postdoctoral experience.
Qualifications
Minumum Qualifications
  • Candidates must have completed a PhD or foreign equivalent in Atmospheric Science or a related discipline.
  • Experience running weather and/or climate models.

Desired Qualifications
  • Experience with machine learning methods, including emulators of weather and climate dynamics.
  • Experience with modern computing environments, including Python, Linux, and agentic workflows
  • Strong analytical and writing skills as demonstrated by a record of publication in peer-reviewed journals.
  • Experience working effectively independently and in a collaborative group.

Application Instructions
To apply, candidates will submit materials via Interfolio, comprising
  • A letter of interest describing their skills, experience, and research interests
  • A curriculum vitae, including a list of publications and links to any open code repositories
  • Two representative publications
  • The names and contact information for three references. PDF files are preferred.

Apply