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Remote Machine Learning Postdoc Jobs in Ashburn, VA

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

ManTech

Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Ashburn, VA

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

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

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.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

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.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

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.
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Remote Machine Learning Postdoc jobs near you

Senior Data Scientist - Artificial Intelligence

Diverse Agile Solutions

Washington, DC • On-site, Remote

$75 - $80/hr

Full-time

Posted yesterday

New

Job description

Senior Data Scientist (Artificial Intelligence)Federal Reserve Board - Division of Consumer and Community Affairs (DCCA)

Company: Diverse Agile Solutions (DAS)

Location: Washington, DC (Hybrid Preferred) | Remote Considered

Job Type: Full-Time Consultant

Clearance/Work Authorization: U.S. Citizenship Required

About Diverse Agile Solutions

Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) specializing in delivering innovative technology solutions and highly skilled IT professionals to federal, state, and commercial organizations. Our expertise spans Artificial Intelligence, Cloud Engineering, Data Analytics, Agile Transformation, DevSecOps, Cybersecurity, Enterprise Architecture, and Digital Modernization.

At DAS, we help organizations solve complex business challenges through emerging technologies while fostering innovation, collaboration, and continuous learning.

Position Overview

Diverse Agile Solutions is seeking a Senior Data Scientist (Artificial Intelligence) to support the Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) as part of its newly established AI Lab.

This is an exciting opportunity to help build next-generation Artificial Intelligence capabilities that improve consumer protection, regulatory oversight, community development, and operational efficiency through Generative AI and Machine Learning.

The ideal candidate is a full-stack AI practitioner capable of owning the complete AI lifecycle-from research and experimentation to application development, deployment, monitoring, and production support. You will work closely with economists, attorneys, analysts, and senior leadership to design intelligent solutions that deliver measurable business value.

What You'll DoArtificial Intelligence & Machine Learning Development
  • Research, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiatives
  • Build proof-of-concept AI applications and transition successful prototypes into production
  • Develop Generative AI solutions using Large Language Models (LLMs)
  • Design Retrieval-Augmented Generation (RAG) architectures
  • Implement prompt engineering strategies for enterprise AI applications
  • Fine-tune and evaluate foundation models for domain-specific use cases
  • Develop NLP solutions including:
    • Text classification
    • Named Entity Recognition (NER)
    • Information extraction
    • Document summarization
    • Semantic search
  • Apply supervised, unsupervised, deep learning, and statistical modeling techniques
  • Evaluate emerging AI frameworks and technologies for enterprise adoption
Full-Stack AI Application Development
  • Build production-ready AI applications using:
    • Python
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Develop intuitive dashboards and visual analytics applications
  • Create interactive data visualizations using:
    • Plotly
    • Matplotlib
    • Seaborn
    • Tableau
    • Power BI
  • Translate complex analytical findings into actionable business insights
Deployment & MLOps
  • Deploy AI and ML applications into cloud environments
  • Containerize applications using Docker
  • Build CI/CD pipelines for AI deployments
  • Implement model monitoring and observability
  • Create automated retraining pipelines
  • Manage model versioning and lifecycle management
  • Optimize API integrations and AI inference costs
  • Troubleshoot and maintain production AI applications
  • Collaborate with Cloud Engineers and Infrastructure teams
Agile Collaboration
  • Participate in Agile ceremonies including:
    • Sprint Planning
    • Daily Standups
    • Sprint Reviews
    • Retrospectives
  • Partner with business stakeholders to identify AI opportunities
  • Translate business requirements into scalable AI solutions
  • Present findings to executive leadership and technical teams
  • Document code, methodologies, and technical decisions
  • Mentor team members and contribute to the growth of DCCA's AI practice
Governance & Responsible AI
  • Develop AI solutions aligned with federal security and governance standards
  • Support FISMA, Privacy Impact Assessments, and ATO documentation
  • Apply Responsible AI principles including:
    • Fairness
    • Bias detection
    • Explainability
    • Transparency
  • Collaborate with security and compliance teams throughout the AI lifecycle
Required Qualifications
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field
    • Master's degree preferred
  • Minimum 6 years of professional experience developing, deploying, and maintaining AI/ML applications
  • Expert proficiency with Python or R
  • Experience building production AI applications
  • Experience deploying Machine Learning solutions into cloud environments
  • Strong knowledge of:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Generative AI
  • Experience with:
    • Scikit-learn
    • spaCy
    • XGBoost
  • Experience developing interactive applications using:
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Experience creating dashboards and visualizations using:
    • Tableau
    • Power BI
    • Plotly
    • Matplotlib
    • Seaborn
  • Experience with containerization and CI/CD
  • Strong statistical modeling and analytical skills
  • Excellent written and verbal communication skills
  • Ability to independently deliver solutions from concept through production
Preferred Qualifications

Candidates with experience in one or more of the following are highly encouraged to apply:

  • Federal Government or Regulatory Agency experience
  • Financial Services or Banking
  • Consumer Finance
  • Banking Supervision
  • Agile methodologies (Scrum, Kanban)
  • Jira or Azure DevOps
  • Large Language Models (GPT, Llama, Nova)
  • LangChain
  • LlamaIndex
  • Prompt Engineering
  • Vector Databases
  • Semantic Search
  • AWS AI Services including:
    • Amazon Bedrock
    • SageMaker
    • Comprehend
    • Rekognition
    • Transcribe
  • AWS deployment services:
    • EC2
    • ECS
    • Lambda
    • S3
    • CloudWatch
  • Databricks
  • Infrastructure as Code:
    • Terraform
    • CloudFormation
  • MLOps
  • Model Monitoring
  • Automated Retraining
  • Responsible AI
  • AI Explainability
  • Multi-modal AI
  • AWS Certifications
  • Experience handling regulated or sensitive data
Technical Skills

Programming Languages

  • Python
  • R
  • SQL

AI / Machine Learning

  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Deep Learning
  • NLP
  • RAG
  • Prompt Engineering
  • Semantic Search
  • Fine-Tuning

Frameworks & Libraries

  • Scikit-learn
  • spaCy
  • XGBoost
  • LangChain
  • LlamaIndex
  • Streamlit
  • Dash
  • Flask
  • R Shiny

Cloud & DevOps

  • AWS
  • Docker
  • Kubernetes
  • CI/CD
  • Git
  • Terraform
  • CloudFormation

Visualization

  • Tableau
  • Power BI
  • Plotly
  • Matplotlib
  • Seaborn
  • ggplot2
Why Join Diverse Agile Solutions?

At DAS, you'll work alongside some of the industry's brightest technology professionals on innovative federal initiatives that leverage Artificial Intelligence to solve meaningful business challenges.

We offer:

  • Competitive compensation
  • Exciting federal technology programs
  • Opportunities to work with cutting-edge AI technologies
  • Collaborative and innovative culture
  • Professional development and certification support
  • Exposure to enterprise-scale cloud and AI platforms
  • Opportunity to help shape the future of AI in the federal government
Work Environment
  • Full-time consulting position
  • Hybrid work environment (Washington, DC)
  • Remote work may be considered
  • Agile, collaborative AI Lab
  • Fast-paced innovation environment focused on research and rapid prototyping
Equal Employment Opportunity

Diverse Agile Solutions is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable federal, state, or local law.

Apply Today

If you're passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions that make a real impact, we'd love to hear from you.

Join Diverse Agile Solutions and help shape the future of AI innovation within the Federal Reserve Board.

Employment Type: FULL_TIME

Apply