AI/ML Job: Senior Software Engineer, Machine Learning

Flatiron Health

Senior Software Engineer, Machine Learning at Flatiron Health

New York, New York, United States 🇺🇸   (Posted Jun 4 2018)
About the company
Flatiron Health’s mission is to improve lives by learning from the experience of every cancer patient.

Job position

Job description
As a Machine Learning Software Engineer, you will join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that improve oncology treatment and research. You will be tasked with finding the most promising opportunities for impact and then delivering on them. You will dig deep into our data, develop novel uses of machine learning, and help us scale our systems to handle our growing data sets. If you’re passionate about healthcare and technology, this is the opportunity to learn about how cancer is treated in the real world and how machine learning can be applied to improve it.


Build reliable and scalable production machine learning systems

Develop solutions that make a difference in patients’ lives

Skills & requirements
About you:

Hold a BS, MS, or PhD in computer science or a related field

Have at least two years of experience building production systems that use machine learning

Understand experimental design and can build for collection, measurement, and interpretation of results

Have experience optimizing the performance, reliability, and scalability of systems

Love simple approaches to complex problems

Are enthusiastic about working on a multi-disciplinary team

Bonus points:

Hold a PhD in computer science or a related field

Have experience in natural language processing

Have experience working with clinical data

Have led or managed a team

Have published academic research in machine learning or contributed to an open-source machine learning software project

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via
(Companies love to know recruiting strategies that work)

Other jobs that might be interesting

Swish ML Engineer - Swish   (November 2018)
San Francisco, California, United States (Remote possible)
Use your extensive knowledge of machine learning to transform the way enterprises run their businesses. With a healthy pipeline of projects ranging from insurance modeling, call center automation, social listening, and text analytics, we are looking to bring o...
G2 Inc Machine Learning Engineer - G2 Inc   (November 2018)
Annapolis Junction, Maryland, United States
Come be a part of a team applying cutting edge Machine Learning to the cybersecurity domain! We will use state of the art ML techniques (Neural Nets, Gradient Boosting, etc.) to model behaviors, detect anomalies, cluster data, and ultimately create actionable...
Element AI Research Scientist - Machine Learning - Element AI   (November 2018)
Montreal, Canada
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science. Element AI wants to carry out fundament...