Machine Learning Engineer
Palo Alto, CA
Location/City : CA - Palo Alto
Area Code : 650
Job Type : 1: Full Time
Id : 23621
23621 Machine Learning Engineer - AI/ML/NLP Platform for Healthcare
Location: Palo Alto, CA
Our client is building a world class clinical AI platform that uses healthcare specific NLP and machine learning to generate healthcare insights to improve patient journeys. They aim to bring unprecedented scale and simplicity to healthcare by combining evidence based algorithms and big data architecture. Their use of NLP makes sense of a wide variety of structured and unstructured data that is stored in clinical workflows. By using scale and machine learning algorithms, clinical partners at all levels can derive meaningful and real-time insights from their data and intervene at critical junctures of patient care.
We need you to make a difference through innovation in advanced data analytics in the area of healthcare solutions and services. As a Machine Learning Engineer, you will work with a growing team of data scientists developing new concepts, propositions, technologies and demonstrators that bring new insights from a combination of multiple healthcare data sources.
Design algorithms that combine human & machine workers to train high quality ML models.
This position requires expertise in acquiring, processing, analyzing and modeling of information from potentially massive amounts of structured and unstructured data.
You will collaborate closely with technologists and business stakeholders on the transition of your research into high value business applications.
If you thrive on mastering new technical challenges and desire the opportunity to use your expertise to generate creative solutions to real-world problems, we want to hear from you!
3+ years of experience using deep learning in an applied setting.
MS or Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire).
Experience in advanced machine learning for temporal and hierarchical domains (e.g. recurrent neural networks, deep learning).
Experience working with Big Data and strong knowledge of big data infrastructure (e.g., Hadoop, Hive, Spark, Elastic Search, AWS).
Programming experience with C/C++/C# or Java.
Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record.
The ability to think "out of the box" to combine multiple possibly unrelated solutions to solve a single complex problem.
Preference would be given to candidates with healthcare experience.
Jon Piggins / Redfish Technology
Director of Business Development
Building Growth-Mode Tech Companies with Hand-Picked Talent Since 1996