Staff Machine Learning Engineer
US Remote
Iterative Health
Iterative Health is pioneering the use of artificial intelligence-based precision medicine in gastroenterology, with the aim of helping to optimize clinical trials investigating the treatment of IBD. We use advanced machine learning and computer vision to interpret endoscopic videos along with other types of data, helping clinicians better assess patients with potential GI problems. Ultimately, the company aims to establish more meaningful endpoints to serve as better predictors of both therapeutic response and disease outcomes.
Iterative Health is seeking a Staff Machine Learning Engineer. This is a dynamic, fast-paced role that will require creative thinking and strong natural language processing, machine learning, and software development fundamentals. The successful candidate will work collaboratively with a diverse team of engineers and scientists in addition to having a track record of developing machine learning and especially deep learning and natural language processing models for solving challenging real-world scientific problems.
What you'll be doing:
The core responsibilities of this role include designing and implementing advanced and scalable deep-learning models on electronic health records to analyze various conditions and perform inferences. You will utilize structured and unstructured EHR to facilitate clinical trial optimization to facilitate IBD drug development.
Required skills:
- Graduate Degree in computer science or other quantitative fields or Bachelor of Science with similar practical experience in an industrial or research setting.
- In-depth knowledge and experience developing, troubleshooting, and validating deep learning models in Python using PyTorch.
- Significant professional experience with ML, DL, and NLP libraries.
- Strong written/verbal technical communication and interpersonal skills
- Proven working knowledge of Cloud Computing (AWS), PostgreSQL, Docker
- Regularly mentored and guided junior engineers.
Preferred skills:
- Ph.D. in computer science or other quantitative fields.
- Maintain deep technical and industry knowledge of state-of-the-art machine learning methods and applications of electronic health records.
- Prior experience leading the development of large projects, including technical design, breakdown of work, estimation, implementation, risk management, and deployment.
- Significant experience with developing deep learning models using PyTorch.
- Extensive experience with various services of Cloud Computing (AWS).
Some of our benefits include:
- Vision/Dental/ Medical Insurance
- Life/Disability Insurance
- Parental Leave
- Stock Options
- Flexible Work Hours
- Unlimited Paid Time Off
At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Computer Vision Deep Learning Docker Industrial Machine Learning NLP PostgreSQL Python PyTorch Research
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Unlimited paid time off
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