Remote Staff AI Researcher

Description:

• As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people.
• You will empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations.
• You will partner with other engineering and analytics teams to bring AI technology into existing products and workflows.
• You will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions.
• You will have the unique opportunity to train, fine-tune, and use AI models using medical data collected from millions of patients across the country.
• Primary duties include building working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.
• You will work with large, complex data sets and solve difficult, non-routine analysis problems to harvest data.
• You will re-design current pipelines and systems to meet the growing data and query needs.
• You will implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.
• You will develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.
• You will design and implement feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.
• You will set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.
• You will deliver working POC solutions solving speed, scalability, and time-to-market tradeoffs.

Requirements:

• A BS/BTech (or higher) in Computer Science or a related field is required.
• You must have 3+ years of relevant deep learning and LLM work experience.
• You should have 8+ years of relevant machine learning and statistical analysis experience.
• A minimum of 3+ years of Python language experience is required.
• You must have experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
• Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark) is necessary.
• You should have 3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.

Benefits:

• The position offers the opportunity to work remotely.
• You will have the chance to make a significant impact on healthcare by developing AI solutions.
• You will collaborate with a team of professionals in a dynamic and innovative environment.
• The role provides access to one of the most extensive data sets in the healthcare industry.
• You will have opportunities for professional growth and development in the field of AI and healthcare technology.