Boston, Massachusetts, United States Hybrid Full-time

C the Signs is hiring a Senior Machine Learning Engineer | C the Signs | Jobs By Workable

About the Role

C the Signs is hiring a Senior Machine Learning Engineer to lead the end-to-end development and deployment of Large Language and machine learning models. You'll focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets to solve specific clinical and operational problems.

What You'll Do

  • Clean, transform, and prepare large, complex healthcare datasets for machine learning model development.
  • Identify, collect, and curate relevant, industry-specific datasets for model retraining.
  • Design, train, and fine-tune various LLMs on extensive healthcare data.
  • Set up and manage the training environment, including GPU instances and required software.
  • Experiment with and fine-tune hyperparameters to optimize model performance.
  • Integrate structured and unstructured data for multi-modal models.
  • Evaluate model performance and implement optimization strategies.
  • Develop and maintain robust and scalable data and ML pipelines.
  • Work closely with data scientists, clinicians, and software engineers to integrate models into production systems.
  • Stay up-to-date with the latest advancements in machine learning and healthcare AI.
  • Maintain clear and comprehensive documentation of models, data pipelines, and results.

What We're Looking For

  • Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field.
  • 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 and memory management for large language models.
  • Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
  • Strong understanding of machine learning algorithms, Large Language Models, and deep learning architectures.
  • 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.
  • Must be a US Citizen, Green Card holder, or currently in the US with a valid H1B visa.

Nice to Have

  • Experience working with healthcare data is highly desirable.
  • Experience with cloud platforms (GCP, AWS) and distributed computing frameworks (Spark) is a plus.
  • Familiarity with MLOps practices and tools.

Technical Stack

  • Languages & Libraries: Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
  • Cloud & Infrastructure: GCP, AWS, Spark

Benefits & Compensation

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on AI technology that directly impacts patient outcomes.
  • Join a team that combines innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements.

Work Mode

This role offers a hybrid work arrangement.

C the Signs is an equal opportunity employer.

Required Skills
PythonTensorFlowPyTorchScikit-learnPandasNumPyGCPAWSSparkMachine LearningMLOpsData PipelinesCloud Infrastructure
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Posted 3 months ago