ZipRecruiter

Log In

2

Remote Machine Learning Postdoc Jobs in Washington, DC

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

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 ...

next page

Showing results 1-20

All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Washington, DC

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.
What are the most commonly searched types of Machine Learning Postdoc jobs in Washington, DC? The most popular types of Machine Learning Postdoc jobs in Washington, DC are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Washington, DC? For Remote Machine Learning Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Washington, DC look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Washington, DC are:
Remote Machine Learning Postdoc jobs near you

Senior AI/ML Engineer

Lateral Insights LLC

Great Falls, VA • Remote

$105K - $145K/yr

Full-time

Posted 4 hours ago

Job description

Senior AI/ML Platform Engineer

Position Overview

We are looking for an experienced Senior AI/ML Platform Engineer to lead the development and deployment of scalable artificial intelligence and machine learning solutions. This role is ideal for a hands-on engineer who enjoys building production-ready systems, solving complex technical challenges, and delivering AI-driven capabilities across cloud-native environments.

The successful candidate will bring a strong software engineering background, deep expertise in machine learning platforms, and practical experience operationalizing AI solutions from concept to production.

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST)

Required Qualifications

  • Must be a US Citizen/ Permanent Resident able to be employed as a Fulltime Employee. Due to the nature of the contract we cannot work any with layers / vendors or offer this role to anyone who needs sponsorships or has a temporary work visa. 
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • 10+ years of experience in software engineering, cloud engineering, or related IT disciplines
  • Minimum 3 years of hands-on experience developing and implementing AI/ML solutions
  • At least 4 years of experience working within AWS environments
  • Demonstrated success deploying machine learning models and AI applications into production
  • Strong software development skills with the ability to design, build, test, and maintain end-to-end solutions

Technical Expertise

  • AI/ML Technologies
  • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras
  • Knowledge of Large Language Models (LLMs), prompt engineering techniques, and NLP-based solutions
  • Experience designing, training, and optimizing machine learning models for production use
  • Software Development
  • Strong proficiency in Python and Java
  • Experience developing RESTful APIs and ML inference services using FastAPI
  • Solid understanding of software engineering best practices, testing, and performance optimization
  • Cloud & Infrastructure
  • Hands-on expertise with AWS services including Lambda, EC2, S3, DynamoDB, API Gateway, ECS/Fargate, and IoT Core
  • Experience implementing Infrastructure as Code using Terraform
  • Strong understanding of containerization and orchestration technologies including Docker and Kubernetes
  • Knowledge of distributed systems and cloud-native architectures

Additional Experience

  • Experience integrating edge devices and cloud-based systems
  • Proven ability to build and support scalable, resilient AI platforms
  • Strong troubleshooting and system optimization skills

Key Responsibilities

  • Design, develop, and deploy enterprise-scale AI and machine learning applications
  • Build and maintain robust ML pipelines that support model training, deployment, monitoring, and lifecycle management
  • Develop intelligent applications leveraging LLMs, generative AI, and NLP technologies
  • Create and support high-performance inference services and APIs for production environments
  • Automate infrastructure provisioning and platform management using Terraform and AWS services
  • Deploy and manage containerized workloads using Kubernetes and Docker
  • Collaborate with product, engineering, and data teams to deliver business-critical AI solutions
  • Monitor system performance, troubleshoot issues, and continuously improve reliability and scalability
  • Take ownership of solutions throughout the full development lifecycle, from implementation through production support

Preferred Candidate Profile

We are seeking a builder who thrives in a hands-on engineering environment and has a proven track record of delivering production-grade AI/ML systems. The ideal candidate combines strong software engineering fundamentals with practical experience deploying modern AI technologies at scale.

Apply