# Senior Machine Learning Engineer

> C the Signs · Boston, United States (Remote) · Full-time · Posted 2026-04-28

**Workplace:** remote

## 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

[Apply at C the Signs](https://apply.workable.com/c-the-signs/j/B9D97E165E/apply)

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