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Remote Deep Learning Engineer Jobs in Boston, MA

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... learning engineers. This role requires a deep understanding of data engineering best practices ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Harvard University

Senior Research Software Engineer

Cambridge, MA · On-site +1

$135K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hybrid / primarily remote within approved payroll states Qualifications Basic Qualifications are ... Proven experience in deep learning at scale, familiarity with the "alphabet soup" of distributed ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

SUMMARY: The Data Science Developer is responsible for understanding the business problems ... Implement deep learning architectures for image analysis and classification tasks. * Participate in ...

Gradient AI

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Leverage the best of modern deep learning & large language models with traditional data science ...

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Leverage the best of modern deep learning & large language models with traditional data science ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Leverage the best of modern deep learning & large language models with traditional data science ...

Motional

Staff Engineer

Boston, MA · On-site +1

$205K - $272K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... class ML engineers, whose mission is to make self-driving vehicles a reality and to create a ... Experience with deep learning frameworks such as TensorFlow or PyTorch * Fluency in Python ...

Motional

Principal Engineer, Team Lead - Behaviors

Boston, MA · On-site +1

$240K - $330K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with deep learning frameworks such as TensorFlow or PyTorch * Fluency in Python ... Advanced knowledge of software engineering principles including software design, source control ...

Motional

Senior Engineer

Boston, MA · On-site +1

$168K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Conduct deep learning experiments and write technical reports. * Provide guidance to junior ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Motional

Senior Engineer

Boston, MA · On-site +1

$168K - $244K/yr

Conduct deep learning experiments and write technical reports. * Provide guidance to junior ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Ascend Learning

Lead Software Engineer

Burlington, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... WHAT YOU'LL DO As a Lead Software Engineer in the Healthcare Workforce Solutions (HWS) group, you ...

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Showing results 41-60

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Boston, MA

Remote Deep Learning Engineer information

See Boston, MA salary details

$11.9K

$91.1K

$152.1K

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

As of Aug 18, 2026, the average yearly pay for remote deep learning engineer in Boston, MA is $91,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $151,000.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote deep learning engineer?

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.

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 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 are popular job titles related to Remote Deep Learning Engineer jobs in Boston, MA?

For Remote Deep Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Boston, MA look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Boston, MA are:

Remote Deep Learning Engineer jobs near you

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 22 days ago

Job description

Position Summary
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.
You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement
Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements
Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply