PhD Intern, AI Research Scientist – Motion Generation
Allstate Northern Ireland
PythonPyTorchTensorflow
Machine Learning Engineer
C the Signs
full-time
Posted on:
Location Type: Hybrid
Location: Boston • Massachusetts • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchRayScikit-LearnSparkTensorflow
About the role
- Clean, transform, and prepare large, complex healthcare datasets for machine learning model development (missing values, outlier detection, feature engineering, normalization).
- Identify, collect, and curate relevant industry-specific datasets and format data for LLM training pipelines.
- Design, train, and fine-tune various LLMs on extensive healthcare data to solve clinical or operational problems.
- Set up and manage training environments, including GPU instances and required software; optimize hyperparameters and memory usage.
- Integrate structured and unstructured data for multi-modal/multi-input models.
- Evaluate model performance using appropriate metrics and implement optimization strategies.
- Develop and maintain robust, scalable data and ML pipelines for training, inference, and deployment.
- Collaborate with data scientists, clinicians, and software engineers to integrate models into production and ensure data privacy and security compliance.
- Stay up-to-date with advancements in machine learning and healthcare AI and explore new technologies.
- Maintain clear 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.
- 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.
- Experience working with healthcare data is highly desirable.
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Strong understanding of various machine learning algorithms, Large Language Models, and deep learning architectures.
- Experience with cloud platforms (GCP, AWS) and distributed computing frameworks (Spark) is a plus.
- Familiarity with MLOps practices and tools.
- 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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learninglarge language modelsdata preprocessingfeature engineeringhyperparameter optimizationmodel evaluationdata pipelinesdeep learningPythonMLOps
Soft skills
problem-solvinganalytical skillscommunicationcollaborationindependenceteamworkadaptabilityattention to detailtime managementcreativity