Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Healthcare Data PlatformsIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science or a related field, and have at least two years of experience building production machine learning engineering systems within a team environment. They should also have at least one year of experience working with modern cloud-native platforms and languages such as AWS, GCP, or Azure, and demonstrate a strong understanding of fundamentals of machine learning through coursework or prior job experience, including the ability to build and evaluate a Deep Neural Network (DNN) from scratch. Furthermore, candidates must have experience fine-tuning Large Language Models (LLMs) and multi-modal models using supervised and reinforcement learning, and experience designing reward functions or graders for Reinforcement Fine-Tuning, particularly with LLMs.
Responsibilities
The Machine Learning Engineer will be responsible for designing, building, and maintaining reliable, secure, and scalable software solutions utilizing modern cloud-based paradigms, including CI/CD, DRI, and on-call practices. They will also contribute to the development of AI agents using agentic frameworks like LangGraph or AutoGen, and create end-to-end agentic AI applications from scratch. Additionally, the role involves optimizing GPU usage for model training and inference, and proactively seeking help and iterating in a changing product landscape, demonstrating a quick and self-driven learning approach.
Skills
Machine Learning
Deep Neural Networks
Model Optimization
Data Evaluation
AI
Learning Algorithms
Decision Making
Optimization
Truveta
Healthcare data platform for research analytics
About Truveta
Truveta provides a platform that allows researchers to access and analyze patient data to enhance patient care and study the safety and effectiveness of treatments. The platform, known as Truveta Studio, offers immediate and compliant access to patient-level data, which is sourced from over 30 health systems and includes information from more than 100 million patients across the United States. This data is updated daily and comes from over 800 hospitals and 20,000 clinics. Truveta Studio is designed to simplify the data access process, making it cost-effective for researchers by charging them only for the data and analytics they use. Unlike many competitors, Truveta focuses on providing transparent pricing and efficient access to comprehensive healthcare data. The company's goal is to empower researchers in the healthcare and life sciences sectors to gain valuable insights that can lead to improved patient outcomes.
Seattle, WashingtonHeadquarters
2020Year Founded
$189.7MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Biotechnology, HealthcareIndustries
201-500Employees