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Weekend Machine Learning Postdoc Jobs in Baltimore, MD

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or equivalent research experience applying machine learning or ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or equivalent research experience applying machine learning or ...

Amazon

Data Scientist, AWS Security

Annapolis, MD · On-site

Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...

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Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Baltimore, MD? For Weekend Machine Learning Postdoc jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Baltimore, MD look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Baltimore, MD are:
Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Postdoctoral Fellow - Phillippy Lab

Postdoctoral Fellow - Phillippy Lab

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 17 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 204 frontline employees who took The Breakroom Quiz

231st of 881 rated healthcare providers

Job description

Description
Dr. Adam Phillippy is seeking a highly motivated postdoctoral researcher to join his research group at Johns Hopkins University beginning in 2026 or early 2027. The position will be based in the Department of Computer Science in the Whiting School of Engineering, with opportunities to engage with the broader Johns Hopkins research ecosystem, including the departments of Biomedical Engineering and Genetic Medicine.
The postdoctoral researcher will develop and apply computational methods across the problems of genome assembly, comparative genomics, gene annotation, pangenomics, personalized genomes, and rare disease clinical diagnostics, with the specific focus shaped by the candidate's interests. Much of this work leverages recently developed reference pangenome databases, and their corresponding data structures, that efficiently capture the genetic variation of a species. These methods can be applied to population-scale sequencing and to the genotyping of complex structural variation. While the approaches generalize to any species, they have direct applications to human health, including the identification of such variation in the genomes of rare disease patients. This work requires expertise in algorithm design (especially on strings and graphs), software engineering, bioinformatics, and efficient programming languages. The ideal candidate will be interested in developing novel, scalable algorithms and data structures for large genomic datasets and in translating them into real-world impact. Applicants with strong computer science, algorithmic, or software engineering backgrounds are encouraged to apply, even if their prior work has not specifically focused on genomics or bioinformatics.
This is a full-time, on-site postdoctoral position with an initial appointment of 12 months and the possibility of extension based on performance and funding. Strong candidates need not meet every qualification listed below.
Qualifications
  • PhD in Computer Science, Data Science, or a related technical field
  • Strong publication record in relevant peer-reviewed venues and evidence of impact as measured by citations to the candidate's own work
  • Strong technical background in one or more of the following:
    • Bioinformatics
    • Genome assembly, alignment, annotation, and variant calling
    • Algorithm and data structure design, especially on strings and graphs
  • Interest or experience in working on topics related to data compression, machine learning, high-performance computing, and scalable data structures
  • Proficiency in a performant programming language such as C++ or Rust, a scripting language such as Python, and a shell / command line work environment
  • Experience with tools such as common sequence aligners, assemblers, and pangenome software (e.g., minimap2, samtools, Verkko, vg, etc.)
  • Ability to lead research projects independently, from problem formulation through analysis, implementation, and publication
  • Excellent written and oral communication skills
  • Interest in working in a collaborative and interdisciplinary environment

Application Instructions
Applicants should submit a curriculum vitae and contact information for at least writers of letters of reference. Please also indicate your earliest possible start date.

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