Staff AI Researcher

This is a fully remote position, open to applicants in United States.

📋 Description

• The Staff AI Researcher is tasked with creating cutting-edge artificial intelligence solutions that enhance health outcomes for millions of patients by equipping primary care physicians with technology aimed at maintaining patient health and preventing avoidable hospitalizations.

• This role involves collaboration with engineering and analytics teams to integrate AI technologies into current products and workflows.

• Furthermore, the position encompasses training, fine-tuning, and utilizing AI models by leveraging insights from extensive datasets of medical records, diagnoses, claims, and prescriptions collected from millions of patients nationwide.

• Key responsibilities include developing functional prototypes using both established and innovative AI methods to achieve higher levels of optimization for the organization;

• addressing large, intricate data sets and resolving challenging, atypical analytical issues to extract valuable information;

• reengineering existing pipelines and systems to accommodate increasing data and query demands;

• applying techniques for fine-tuning and adapting pre-trained generative models to specific healthcare applications or tasks;

• creating evaluation metrics and benchmarks to evaluate the quality and performance of AI/ML models;

• designing and executing feature engineering pipelines, which include data processing, feature extraction, and transformation to enhance model performance;

• establishing and maintaining standards for engineering processes, such as style and code reviews, test harnesses, and release packaging;

• and delivering functional proof-of-concept solutions that balance speed, scalability, and time-to-market considerations.

⛳️ Requirements

• A Master’s degree or a foreign equivalent in Computer Science or a related quantitative discipline is required, along with six (6) years of experience in machine learning and statistical analysis.

• The role also necessitates proven knowledge and experience in the following areas: three (3) years of deep learning and large language model expertise;

• three (3) years of experience with Python;

• three (3) years of skill in selecting appropriate tools for specific data optimization challenges;

• overcoming issues related to incomplete, unrepresentative, and mislabeled data;

• and experience with large-scale distributed systems and statistical software (e.g., Spark).

🏝️ Benefits

• Flexible work schedules and remote work options are offered for many positions.

• Health, dental, and vision insurance coverage is provided up to 80% for employees, dependents, and domestic partners.

• A generous time-off policy includes 21 days of PTO in the first year.

• Two paid volunteer days and 11 paid holidays are included.

• New parents receive 12 weeks of paid parental leave.

• A six-week paid sabbatical is available after six years of service.

• Educational Assistant Program and Clinical Employee Reimbursement Program are provided.

• A 401(k) plan with up to a 4% match is available.

• Stock options are offered.

• And much more!