As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people. Here at Aledade we empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows.

Company: Aledade, Inc.

Role: Staff AI Researcher

Location: Remote

Experience:

3+ years of relevant deep learning and LLM work experience
8+ years of relevant machine learning and statistical analysis experience
3+ years or Python language experience
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)
3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem

Key Skills:

AI
Machine Learning
Deep Learning
Python
Spark
Data processing
Feature extraction
Transformation
Model performance

Qualification:

BS/BTech (or higher) in Computer Science or a related field required

Role Focus:

Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company
Work with large, complex data sets. Solve difficult, non-routine analysis problems to harvest data
Re-design current pipelines and systems to meet the growing data and query needs
Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks
Develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models
Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance
Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging
Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs

Nice to have:

Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience
Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
Experience with security and systems that handle sensitive data
Experience with Databricks/MLflow
Experience with designing and implementing production-ready agentic systems
Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures
Demonstrated leadership and self-direction
First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP)
Winners in ACM-ICPC, NOI/IOI, Kaggle
Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.

Other:

Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required
We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials

Staff AI Researcher

Skills Required

Description