Sr. Machine Learning Engineer
|Job Title:||Sr. Machine Learning Engineer|
|Salary:||US$125000.00 - US$140000.00 per annum|
|Contact Name:||Tim Tirabassi|
|Job Published:||May 09, 2019 15:39|
For every hour patients wait for care, they face objectively worse outcomes. Our client believes it is unacceptable that patients are not able to access the care they need, when they need it, due to operating inefficiencies and unnecessary cost barriers. Our mission is simple, to ensure no one waits for the care they need. Named one of Becker's "Great Places to Work" and a Pittsburgh Business Times â€œCorporate Citizenship Awardâ€ winner, our client delivers extraordinary outcomes that have been the subject of study by the RAND Corporation, and is the perennial KLAS Patient Flow Category Leader.
We take pride in our mission and are grateful for the opportunity to do noble work
We value honesty and treat others with respect
We innovate to solve problems and create elegantly simple offerings
We hold ourselves and one another accountable
We relentlessly pursue continuous improvement and challenge the status quo
We contribute positively to meaningful outcomes for our partners and for healthcare
We make sound decisions and operate efficiently in order to sustain employment and grow the business
Our client is growing and the data processing landscape is shifting. We collect terabytes of data of various types, including real-time, from a cadre of sources from all of our clients. Our clients, large and small health systems, too are growing. The kinds and amount of data that each generates on a yearly basis is exponentially growing. Having this data improves our clients' situational awareness leading them to better understand how they are performing in order to improve their overall outcomes. This is true for the smallest community hospital to the largest health system.
As a Machine Learning Engineer you will be working in one of the most complex data environments in healthcare. You will be responsible to determine ways to intelligently use this data to enhance the users' experience and to inform customers of trends identified by the data. You should have excellent business and communications skills to be able to work with both technical teams as well as other parts of the product and our clients. You should be someone who loves to bring data together to answer business questions and drive change.
PRIMARY DUTIES AND RESPONSIBILITIES
We are looking for talented Machine Learning Engineers with a strong foundation in multiple programming languages to lead the design and development of the next generation machine learning algorithms that will drive operational improvements across the healthcare continuum of care. Your role as one of the core members of the team, will be to bring to bear your expertise in software design and development to create machine learning algorithms that can dramatically improve insights for all our stakeholders both internal (analysts, business leaders, etc.) and external (clinicians, health system CEOs and CIOs, etc,).
Bachelors in Computer Science, Machine Learning or related field
8 Years of total software engineer experience of which 4+ years of experience building functional ML applications for prediction, utilization (e.g., commercial products or government projects), NLP.
Previous experience in using Hadoop ecosystem ML tools (SparkML, Mahout, etc.)
Experience validating software through industry accepted testing strategies
Experience working in an Agile development environment
Proven experiences on delivering distributed systems and services in a production setting
A portfolio of relevant publications or open-source projects to share with us
A desire to keep up with the field by attending or publishing at relevant conferences (ACL, EMNLP, NAACL-HLT, ICML, NIPS, etc.
Graduate-level expertise (or equivalent industry experience) in machine learning, natural language processing, or related field
Expert knowledge in implementing ML systems at scale in Python, Java, Scala, SparkML, or C/C++ (i.e., not just R or MATLAB)
Be responsible for the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to, data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components
A strong mathematical background in statistics and machine learning
Great presentation and communication skills
Experience with some or all of the following:
Amazon Web Services
Windows and Linux
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