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Remote Citizen Machinery Jobs (NOW HIRING)

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Benefits Why ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Paylocity

Manager Machine Learning Engineering

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... first-class citizen ( Blog Post ) * Working in a collaborative fully remote environment with a ...

Knexus

Data Scientist (Remote)

Use machine learning techniques to predict future trends based on historical data. * Data ... S. citizen and eligible to obtain a U.S. government security clearance

United States Fleet Forces Command

MACHINIST

Portsmouth, VA · On-site +1

$32.07 - $37.41/hr

Must be a US Citizen. * Must be determined suitable for federal employment. * Must participate in ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

New

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... citizen (Blog Post) * Working in a collaborative fully remote environment with a desire to share ...

INSPYR Solutions

Attorney - CA - remote

Pasadena, CA · On-site +1

US Citizen, Green Card, or authorized to work in the US Position Summary The State Level Attorney ... Ability to operate basic office equipment such as a copy machine, printer, scanner, and computer

ConfigUSA

Hexagon Cyber Security

Wilmington, DE · Remote

$113K - $153K/yr

... REMOTE HEXAGON CYBER SECURITY TOOL IS A MUST !! CANDIDATES WITH OUT THIS EXP WILL BE REJECTED ... machines on the PCN (Process Control Network) and OMN (Operations Management Network) Deploy ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

Must be a US Citizen. This requirement is due to specific U.S. Government Contract Mandates and ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

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Senior Machine Learning Engineer

C the Signs

Boston, MA • On-site, Remote

$133K - $175K/yr

Full-time

Re-posted 10 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