C THE Signs

C THE Signs

Senior Machine Learning Engineer

Boston, Massachusetts, United States · Senior

Work authorization requiredDetected 86 days ago
PythonAlgorithmsAWSGCPCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPySparkData EngineeringLLMsMLOpsResearchCommunicationCollaborationProblem Solving

About the role

  • 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.

Responsibilities

  • 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.
  • Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.
  • Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.
  • Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
  • Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.

Requirements

  • Set up and manage the training environment, including GPU instances and required software.
  • 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.

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.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Soft Skills: Excellent problem-solving and analytical skills.

Benefits

  • Competitive salary and benefits package.
  • 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.
  • Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development.
  • 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.
  • Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance.
  • 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.
  • Flexible working arrangements (remote or hybrid options available).

Visa & Work Authorization

  • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa
Apply directly at C THE Signs →Create a free account for alerts like thisView C THE Signs immigration profile

This listing is sourced directly from C THE Signs's careers page and normalized into a canonical job model.