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Remote Deep Learning Engineer Jobs in Maryland (NOW HIRING)

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

The successful candidate will be a hands-on leader with deep technical skills, who can drive best ... Work Flexibility This role is eligible for full time remote work.

GRS Recruiting

This position offers a fully remote structure with significant autonomy. Key Responsibilities ... deep understanding of the specific skills and traits required to help our clients grow their ...

NinjaOne

Federal Solutions Engineer

Baltimore, MD · Remote

... deep technical evaluators and high-level decision makers. You'll serve as a customer advocate ... Location - This is a Remote role open to candidates within Virginia or Maryland or those willing to ...

NinjaOne

Federal Solutions Engineer

Baltimore, MD · Remote

... deep technical evaluators and high-level decision makers. You'll serve as a customer advocate ... Location - This is a Remote role open to candidates within Virginia or Maryland or those willing to ...

General Motors

Senior AI/ML Engineer

Annapolis, MD · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Level up how ML teams work with data Develop automation and tooling that give ML engineers deep ...

USALCO

AI Platform Engineer

Baltimore, MD · Remote

This is a REMOTE position. RESPONSIBILITIES AI Platform Architecture & Engineering: Design, develop ... learning engineering, AI platform development, or related technical roles. * Demonstrated ...

Excyl Inc

Sr DevOps Engineer

Owings Mills, MD · On-site +1

$124K - $160K/yr

... Contract / #REMOTE SKILLSETS NEEDED: * Significant development experience (6+ years) with ... Deep experience with Java programming (10+ years) and REST service development. * Significant ...

Excyl Inc

Sr DevOps Engineer

Owings Mills, MD · Remote

$124K - $160K/yr

... Contract | #REMOTE SKILLSETS NEEDED: * Significant development experience (6+ years) with ... Deep experience with Java programming (10+ years) and REST service development. * Significant ...

NinjaOne

Staff Performance Software Engineer

Baltimore, MD · On-site +1

$200K - $300K/yr

We are looking for a strategic, hands‑on engineer who combines deep expertise in performance ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site +1

$113K - $136K/yr

Remote (U.S.-based) with occasional onsite requirements Duration: Long-term engagement (up to 5 ... Building LLM agents for knowledge retrieval, deep research, translation, transcription, redaction ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Maryland

Remote Deep Learning Engineer information

See Maryland salary details

$10.7K

$81.4K

$135.9K

How much do remote deep learning engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote deep learning engineer in Maryland is $81,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $134,900.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are popular job titles related to Remote Deep Learning Engineer jobs in Maryland? For Remote Deep Learning Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Maryland look for? The top searched job categories for Remote Deep Learning Engineer jobs in Maryland are:
What cities in Maryland are hiring for Remote Deep Learning Engineer jobs? Cities in Maryland with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you

System Engineer - Machine Learning (ML) Integration and Optimization

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

System Engineer - Machine Learning (ML) Integration and Optimization

AEITS, Inc., a GTSC company, is growing its team! Seeking a System Engineer for Machine Learning (ML) Integration and Optimization to support our customer in the Annapolis Junction, MD area.

Location: Annapolis Junction, Maryland

All work is on-site. This is not a hybrid or remote position.

Mission: As a System Engineer for Machine Learning (ML) Integration and Optimization, you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Requirements:

  • U.S. Citizenship
  • Active TS/SCI with polygraph
  • Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required.
  • Strong interpersonal, communications and writing skills.
  • Basic Linux skills required.

Desired Qualifications

  • Experience Testing Machine Learning Models.
  • Experience with Yolo
  • Experience with Python.
  • Experience with Wireshark or other protocol analyzer.
  • Knowledge of and experience with scripting languages to process automation.
  • Experience installing, monitoring, and optimizing Kubernetes clusters.
  • Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452).
  • Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding.

You are responsible for:

  • Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

BENEFITS - Full-time Employees

  • 401K with employer contribution. Fully vested at 1 year anniversary.
  • Five (5) weeks comprehensive annual leave (25 workdays).
  • Additional leave can be earned in lieu of overtime.
  • 11 Paid Federal Government Holidays.
  • Up to $5,000 annually for individually tailored education / training program.
  • All education plans must be pre-approved by Advantage Engineering management.
  • Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents.
  • Short-term and long-term disability.
  • We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst.
  • All employees are eligible to earn generous incentives and performance bonuses.

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.

GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at Recruiting@GTSC.com.

Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.

GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.

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