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Remote Machine Learning Postdoc Jobs in Virginia

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

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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 Virginia?

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

What are popular job titles related to Remote Machine Learning Postdoc jobs in Virginia?

For Remote Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:

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

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

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

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

Remote Machine Learning Postdoc jobs near you

Software Engineer / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Software Engineer / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will support the design, development, integration, and maintenance of software systems and cloud-based applications in a secure technical environment. This role involves applying software engineering principles, systems analysis, and emerging technologies including artificial intelligence and machine learning to support mission and operational requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of three (3) years of relevant experience; OR
  • Seven (7) years of related professional experience in lieu of a degree
  • Minimum of three (3) years of software engineering, systems engineering, or AI/machine learning experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work in a collaborative and fast-paced technical environment
Duties and Responsibilities
  • Analyze software and system requirements to support development and operational needs
  • Design, develop, test, and maintain software applications and system solutions
  • Evaluate and improve software performance, system functionality, and operational efficiency
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with technical teams to ensure proper integration and deployment of software solutions
  • Modify existing applications to correct defects, improve performance, or adapt to new technologies
  • Analyze interfaces between hardware and software systems and develop performance requirements
  • Support installation, testing, and maintenance of software systems and cloud-based applications
  • Develop and maintain applications within cloud environments, including modernization of legacy systems
  • Participate in estimating software development schedules, resource requirements, and technical risks
  • Apply analytical and mathematical methods to software design and system performance evaluation
  • Support AI and machine learning initiatives, including data analysis, model development, and automation solutions
  • Provide technical guidance and collaborate with engineers, analysts, and developers on project activities
Required Knowledge, Skills, and Abilities
  • Knowledge of software engineering principles, programming, and systems analysis
  • Understanding of cloud computing concepts and application development environments
  • Ability to analyze user requirements and translate them into technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a multidisciplinary team
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Artificial intelligence and machine learning concepts and tools
  • Web application development technologies, including HTML and Apache Struts
  • Software testing and defect tracking tools, like Loadrunner
  • Source code editors and development environments
  • Cloud platforms and application hosting technologies
  • Enterprise servers and distributed computing environments
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.