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Remote Research Engineer Jobs in Maryland (NOW HIRING)

Motorola

Principal R&D Engineer

California, MD · On-site +1

This position is eligible for 100% remote work depending on location. The following is a list of at ... Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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Remote Research Engineer information

See Maryland salary details

$35.9K

$102.9K

$138.3K

How much do remote research engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote research engineer in Maryland is $102,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

What are the most commonly searched types of Research Engineer jobs in Maryland?

The most popular types of Research Engineer jobs in Maryland are:

What are popular job titles related to Remote Research Engineer jobs in Maryland?

For Remote Research Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Research Engineer jobs in Maryland look for?

The top searched job categories for Remote Research Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Research Engineer jobs?

Cities in Maryland with the most Remote Research Engineer job openings:

Remote Research Engineer jobs near you
Infographic showing various Remote Research Engineer job openings in Maryland as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,889 per year, or $49.5 per hour.

A/AI Research Engineer Stf - E4

Lockheed Martin Corporation

Bethesda, MD • On-site, Remote

$150K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 397 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

Standard Job Description
Focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
The Astris AI Sales Engineer serves as the technical backbone of our AI Factory go-to-market motion. This role owns the demo environments, proof-of-concept architectures, and technical narrative that show prospective enterprise customers what AI Factory platform - can do. It combines hands-on AI/ML engineering skill with strong presentation ability to support Account Executives across the full commercial sales cycle, from first technical discovery call through proof-of-concept and close.
Demo & Technical Asset Development
  • Build and maintain reusable MLOps demo environments on Panel covering the full model lifecycle: experiment tracking, versioning, CI/CD for ML, deployment, and production monitoring
  • Develop industry-specific demo narratives and datasets (predictive maintenance, fraud detection, supply chain forecasting, and similar) that map Panel's capabilities to a prospect's actual workflows
  • Maintain demo infrastructure, including containerized and Kubernetes-based environments, so demos run reliably across customer meetings, trade shows, and remote sessions
  • Build reusable technical assets: reference architectures, ROI calculators, solution briefs, and competitive comparison sheets

Customer Engagement Support
  • Partner with Account Executives throughout the commercial sales cycle - qualification through close
  • Lead technical discovery sessions to understand a prospect's existing infrastructure, data environment, team structure, and integration constraints
  • Deliver customized demonstrations and technical presentations to audiences ranging from data scientists and ML engineers to CTO/CIO-level executives
  • Respond to RFIs/RFPs with accurate technical content and MLOps-specific competitive positioning
  • Build trusted-advisor relationships with customer technical stakeholders and support technical handoffs to Customer Success Engineers and Solution Architects once a deal closes

Technical Enablement & Collaboration
  • Maintain deep expertise in Panel and general MLOps best practices (model versioning, experiment tracking, CI/CD for ML, monitoring, governance)
  • Stay current on the broader MLOps and Kubernetes ecosystem (Kubeflow, MLflow, KServe, Ray, Argo, and similar) to keep demos and competitive positioning sharp
  • Collaborate with Product and Engineering to feed customer feedback and market signal into the Panel roadmap
  • Support partner-channel enablement (ISVs, SIs, cloud partners) with MLOps-focused technical training and co-selling assets

Basic Qualifications
  • 5-9 years in Sales Engineering, Solutions Engineering, Pre-Sales Technical Consulting, or a hands-on ML engineering / MLOps role
  • Working proficiency in Python and at least one ML framework (PyTorch, TensorFlow, scikit-learn, or similar)
  • Demonstrated ability to build and maintain demo or POC environments end-to-end

Desired Skills
  • Hands-on experience with MLOps platforms such as Astris AI Factory, MLflow, Kubeflow, Weights & Biases, or similar tools
  • Working knowledge of generative AI / LLM concepts (RAG, agent frameworks)
  • Experience selling into manufacturing, supply chain, financial services, or technology verticals
  • Practical experience with Kubernetes (deploying, debugging, or operating workloads) and containerization

Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
  • Full-time salary range (GEOZONE 1): $150800.00 - $280000.00
    • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
  • Full-time salary range (GEOZONE 2): $135700.00 - $251900.00
    • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
  • Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
    • Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
  • Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
    • Includes metropolitan areas such as Camden, AR; Lexington, KY; Ocala, FL; Lufkin, TX; etc.

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
  • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
  • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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