Vacancy expired!
- From a programming language perspective, we use Python, Scala, and NodeJS.
- For services and web applications, we use Flask (REST) and React with MySQL backends.
- On the Data/Machine Learning side, we use a variety of big data technologies such as Airflow,
- Big Query, Spark (DataProc), Google Cloud Storage, Google Pub/Sub, Cloud SQL, Tensorflow, KubeFlow, scikit-learn, XGBoost, Shap.
- Google Cloud is our cloud partner. Our long-term strategy is to be multi-cloud.
- Most of our infra is running on GKE and it's managed via Terraform.
- Discretionary PTO
- 401(k) Retirement Plan
- Health + Vision + Dental Benefits
- Employee Referral Program
- Paid Parental Leave
- Professional Development
- Participate in cutting edge research in healthcare AI/ML applications.
- Develop solutions for real world, large scale problems.
- Drive industry standards and beyond within the DS team
- Use strong coding chops to drive experiments all the way to production
- Collaborate very tightly with our engineering team in terms of setting our long term technical strategy that blends engineering and science
- Mentor the more junior members of the data science organization
- Ph.D. in Computer Science or related field, or equivalent industry experience.
- Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
- Programming experience in C, C, or Python.
- Contributions to research communities/efforts, including publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, CVPR).
- Relevant work experience, including full time industry experience or as a researcher in a lab with Deep Learning on Electronic Health Records or claims data.
- Experience with Spark/pyspark
- Experience with Cloud (e.g., AWS, Google Cloud, Azureetc)
- Strong publication record and open source contribution.
- Ability to design and execute on research agenda.
Vacancy expired!