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Remote Machine Learning Postdoc Jobs in Maryland

$77K - $110K/yr

This role supports a remote work schedule. #LI-SF1 #Remote What You Will Do: The following ... Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ...

Resume Only Submission

Aberdeen, MD · On-site +1

$179K/yr

Artificial Intelligence (AI) and Machine Learning (ML); Cyber Security; Cloud Computing ... That's why we offer flexible scheduling, remote work options, and a healthy work-life balance We ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Showing results 21-40

Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What are the most commonly searched types of Machine Learning Postdoc jobs in Maryland?

The most popular types of Machine Learning Postdoc jobs in Maryland are:

What job categories do people searching Remote Machine Learning Postdoc jobs in Maryland look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Maryland are:

What cities in Maryland are hiring for Remote Machine Learning Postdoc jobs?

Cities in Maryland with the most Remote Machine Learning Postdoc job openings:

Data Scientist, Level 1

WOOD Federal Solutions

Fort George G Meade, MD • On-site, Remote

$138K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Data Scientist, Level 1

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type: Full-Time

Shift: Day

Telework: None

Salary Range: **$138,200 to $152,000 per year

** Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Overview: We’re seeking a Data Scientist who turns complex data into clear, actionable insight. In this role, you will design and prototype machine learning, statistical, graphbased, and datamining algorithms to analyze diverse datasets. You’ll compare candidate models with rigorous performance metrics, build experiments or synthetic datasets when real data is limited, and translate findings into concise reports and visualizations for customers. Working closely with subject matter experts, you’ll convert manual analyses into automated analytics and implement prototype algorithms within production frameworks so insights flow directly into analyst workflows. Join us to shape decisions with data—grow your expertise, build productiongrade analytics, and accelerate your career at the intersection of AI and mission impact.

Security Clearance Requirements:

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.


  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data
    and develop scripts that extract this information from a variety of data formats (e.g., SQL tables,
    structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.

Required Education & Years of Experience:

  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets anddeveloping analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Fringe Benefits:

  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

  • Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.

  • Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.

  • Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.