As a ML Researcher, your primary focus will be to discover novel ways to apply the latest techniques in machine learning to healthcare problems that have the potential impact millions of lives worldwide. You will work with proprietary healthcare data from almost every continent, and design and implement foundational ML systems that have not even hit arXiv yet. We are looking for a researcher who intuitively understands the nature of research and are eager to rapidly prototype new algorithms and models using big data technologies. Your secondary focus will be on publishing papers in academic journals and conferences in strategic research areas for the company.
Your team will own
Developing new models, optimizing hyper parameters, and implementing machine learning services in local, cluster, and cloud environments
Analyzing and debugging prediction models
Work closely with Platform Engineers and ML Engineers to assist in transition of R&D development into production-ready system
Care about spearheading an inclusive, open culture for holding technical seminars, speaking and engaging at industry conferences
Care about seeing the productization of your research through applying software engineering best practices
Own problems end-to-end in a very ownership driven culture
PhD degree or equivalent in Computer Science, Engineering, Mathematics or related field and at least 1 year industry experience
Proven track-record publishing in Machine Learning, Operational Research, Statistics or related fields.
Strong understanding of deep neural networks and their applications in NLP
Your research will be long-term in nature but you are always be on the lookout for projects that can have impact in the short-term.
Experience with productizing your research by developing production code in Python, Java/Scala, C/C+
Comfortable working with different types data stores such as SQL, noSQL, cache databases, and some experience with MySQL, PostgreSQL, Redis
Hands-on experience in GPU optimization (CUDA and/or OpenCL) and implementing algorithms on multi-core CPUs
Experience with big data technologies Postgres, Cassandra, Spark, Hadoop, Hive
Experience with Tensorflow (or similar libraries) from GPU training, efficient input pipelines (queues, Dataset API, and the like), to deployment of packaged/compiled models, and distributed computing (sharding, clusters, etc.)
R&D experience in active learning, transfer learning, reinforcement learning and their applications for natural language processing
In a typical week, you might ...
Perform literature review and maintain cutting edge expertise in some of the methods employed in the Lydia AI data science pipeline
Rapidly prototype a new machine learning technique by collaborating with ML Engineers to deliver on feature requirements
Coordinate effectively with clinicians and subject matter experts for human validation
Draft, edit, and prepare academic papers in leading scientific conferences to evangelize your work
What we offer
Work with awesome people that support and challenge one another to bring out the best in each other
Competitive salary and participation in company success through employee stock options
Health, dental, and vision benefits
Leadership position as we continue to grow the team
Catered/company lunches every Monday and Fridays
Retreats and outings to bond with your team
Modern office off King and Bathurst
Unlimited coffee and snacks
Knowtions is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.