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Machine Learning Postdoc Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Florida Atlantic University

NY · On-site

$60 - $80/hr

Postdoctoral Fellow Application of Machine Learning and Robotics page is loaded## Postdoctoral Fellow Application of Machine Learning and Roboticslocations: Harbor Branch (HBOI)time type: Full ...

Myana

Research Fellow - Deep Learning

Boston, MA · On-site

$60 - $80/hr

Job Summary We have an open position for a computer science/machine-learning postdoctoral fellow to work on machine-learning algorithms for automatic diagnosis of dystonia, prediction of the risk for ...

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Machine Learning Postdoc information

What is a machine learning postdoc?

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?

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 key skills and qualifications needed to thrive in a machine learning postdoc position?

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.

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Infographic showing various Machine Learning Postdoc job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.

Postdoctoral Positions in Computational Biophysics/Machine Learning

Amherst, MA • On-site

CHARMM-GUI
See more jobs at CHARMM-GUIexternal

$60 - $80/hr

Other

Posted 7 days ago

Job description

CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus

Postdoctoral Positions in Computational Biophysics/Machine Learning

Date

2027-02-01

Location

University Massachusetts, Amherst

Description

At least one postdoctoral Research Associate position in the general area of Computational Biophysics is available in the University of Massachusetts Amherst Institute of Applied Life Sciences (IALS), a fast-growing enterprise dedicated to developing the next generation of life science products and technologies to improve human health. The candidate will be able to work on a range of areas including:

  • Computational method development, particulary coarse grained modeling of biomolecules
  • Intrinsically disordered proteins (e.g., structure, interaction, phase transition, drug)
  • RNA and DNA structure dynamics and phase transitions
  • Physics-inspired machine-learning methods (e.g., mutational effect prediction, generative modeling of protein dynamics, design of artificial protein-binding polymers)
  • Structure and function of complex biomacromolecules such as ion channels

For more information on our current research interests and topics, please refer to our group website: http://people.chem.umass.edu/jchenlab.

The candidate should have a Ph.D. in chemistry, physics, or a related field, withe extensive experience and strong publication record in computational biophysics (including machine learning). Successful applicants should also have strong background in scientific computing and statistical mechanics, and display excellent general understanding of biophysics, biomolecular modeling and machine learning. An ideal candidate would also display a strong passion for science, and the ability and desire to work both independently and as part of a team. We work closely with experimental collaborators in many projects and thus good communication skills will be a strong plus.

Initial appointments will be for one year with the possibility of renewal for at least three years. The salary will be competitive and follow NIH and UMass guidelines.

UMass Amherst is the Commonwealth's flagship campus and a top-30 public research university. It is located in Amherst, Massachusetts, sits on nearly 1,450-acres in the scenic Pioneer Valley (AKA: Happy Valley) of Western Massachusetts, 90 miles from Boston and 175 miles from New York City. The campus provides a rich cultural environment in a rural setting close to major urban centers.

University of Massachusetts is an EOE of individuals with disabilities and protected veterans. Background check required.

University of Massachusetts actively seeks diversity among its employees.

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