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Volunteer Remote Learning Development Jobs in Massachusetts

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... 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

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Sama

Enterprise Account Executive

Boston, MA · Remote

... or Learning & Development as primary buyer * Demonstrated ability to meet, and exceed KPIs * Done ... Remote working. * Plenty of room for growth as our ambitious team grows too. * Access to your ...

Sama

Enterprise Account Executive

Boston, MA · On-site +1

... or Learning & Development as primary buyer * Demonstrated ability to meet, and exceed KPIs * Done ... Remote working. * Plenty of room for growth as our ambitious team grows too. * Access to your ...

Ascend Learning

Sr Software Engineer

Burlington, MA · On-site +1

$133K - $175K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Being Glue - contribute across multiple areas, including feature development, code optimization ...

Ascend Learning

Lead Software Engineer

Burlington, MA · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Being Glue - contribute across multiple areas, including feature development, code optimization ...

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All JobsVolunteer Learning Development JobsVolunteer Remote Learning Development JobsVolunteer Remote Learning Development Jobs in Massachusetts

Volunteer Remote Learning Development information

What is the difference between Volunteer Remote Learning Development vs Volunteer Remote Curriculum Design?

AspectVolunteer Remote Learning DevelopmentVolunteer Remote Curriculum Design
Primary FocusCreating and improving educational programs and learning experiencesDeveloping and structuring course content and curricula
Required SkillsInstructional design, educational technology, needs assessmentCurriculum planning, content creation, instructional strategies
Work EnvironmentRemote, often collaborative with educators and organizationsRemote, focused on content development and instructional frameworks
Common UsageNonprofits, educational institutions, e-learning platformsEducational organizations, online course providers, nonprofits

Volunteer Remote Learning Development involves designing and enhancing educational programs, while Volunteer Remote Curriculum Design focuses on creating specific course content and structures. Both roles require instructional skills and often operate remotely within educational or nonprofit sectors, but their core tasks differ in scope and focus.

What are popular job titles related to Volunteer Remote Learning Development jobs in Massachusetts? For Volunteer Remote Learning Development jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Volunteer Remote Learning Development jobs in Massachusetts look for? The top searched job categories for Volunteer Remote Learning Development jobs in Massachusetts are:
What cities in Massachusetts are hiring for Volunteer Remote Learning Development jobs? Cities in Massachusetts with the most Volunteer Remote Learning Development job openings:
Volunteer Remote Learning Development jobs near you

Senior Machine Learning Engineer

C the Signs

Boston, MA • On-site, Remote

$133K - $175K/yr

Full-time

Re-posted 13 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