ZipRecruiter

Log In

2

Remote E Learning Developer Jobs in Cambridge, MA

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

YO AI Labs

Machine Learning Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

Machine Learning Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Leidos

Transmission Line Engineer

Framingham, MA · On-site +1

$73K - $132K/yr

South Region (Hybrid & Remote options available) The Opportunity Join a premier team solving the ... We offer complementary e-learning, clear mobility paths, and a robust External Referral Program.

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

Booz Allen Hamilton, Inc.

Immersive Designer

Lexington, MA · On-site +1

$55K - $126K/yr

Remote Work: Hybrid Job Number: R0246958 Location: Lexington,MA,US Share job via: Share Immersive ... Work with a team of artists, programmers, instructional designers, and game designers to envision ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Experience with functional programming (e.g. Clojure) is a plus but not required. * Cloud and MLOps ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

next page

Showing results 1-20

All JobsE Learning Developer JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Cambridge, MA

Remote E Learning Developer information

See Cambridge, MA salary details

$12K

$91.7K

$153K

How much do remote e learning developer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote e learning developer in Cambridge, MA is $91,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a remote e learning developer?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What are some typical daily responsibilities for a remote e learning developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What are the key skills and qualifications needed to thrive in the remote e learning developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

What are the most commonly searched types of E Learning Developer jobs in Cambridge, MA?

The most popular types of E Learning Developer jobs in Cambridge, MA are:

What are popular job titles related to Remote E Learning Developer jobs in Cambridge, MA?

For Remote E Learning Developer jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Remote E Learning Developer jobs in Cambridge, MA look for?

The top searched job categories for Remote E Learning Developer jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Remote E Learning Developer jobs?

Cities near Cambridge, MA with the most Remote E Learning Developer job openings:

Remote E Learning Developer jobs near you
Infographic showing various Remote E Learning Developer job openings in Cambridge, MA as of August 2026, with employment types broken down into 77% Full Time, 12% Part Time, 2% Temporary, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,685 per year, or $44.1 per hour.

Senior Machine Learning Engineer

Boston, MA • On-site, Remote

C the Signs
See more jobs at C the Signsexternal

$133K - $175K/yr

Full-time

Re-posted 6 days ago

Job description

Position Summary
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.
Key Responsibilities
  • Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline
  • Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models)
  • Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.
  • Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
  • Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance.
  • Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions.
  • Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.

Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Experience:
    • 5+ years of experience in Machine Learning Engineering or a similar role.
    • Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
    • Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
    • Experience with GPU/TPU optimization, memory management for large language models.
    • Experience working with healthcare data is highly desirable.
  • Technical Skills:
    • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
    • Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.
    • Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.
    • Familiarity with MLOps practices and tools.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.
    • Ability to work independently and as part of a team in a fast-paced environment.
  • 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