Member of Technical Staff - Machine Learning & AI
Member of Technical Staff - Machine Learning & AI
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Job Description
Join us as we work to create a thriving ecosystem that delivers accessible high-quality and sustainable healthcare for all.
We are looking for a Machine Learning Engineer to join the Data Science team with the division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains.
About you:
You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally you have a strong interest in improving healthcare.
About the team
The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies.
Job Responsibilities
As a member of the Data Science team you are expected to work on projects within scrum teams of 2-4 people and execute the following:
Identify opportunities for different machine learning techniques and evaluate which are best
Assist in developing and deploying ML-based production services to our clients
Understand and follow conventions and best practices for modeling coding architecture and statistics; and hold other team members accountable for doing so
Apply rigorous testing of statistics models and code
Contribute to the development of internal tools and data science team standards
Typical Qualifications:
Bachelors or Masters in relevant field: math computer science data science economics
Bachelors with 2-3 years of professional experience OR masters with 0-2 years of experience in developing evaluating and deploying machine learning models.
Excellent verbal communication and writing skills
Experience using machine learning models and libraries familiarity with NN frameworks a bonus
Experience with Python SQL Unix
Familiarity with NLP or computer vision techniques
Experience using the AWS ecosystem a bonus
About athenahealth
Our vision: In an industry that becomes more complex by the day we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients powered by our vision to create a thriving ecosystem that delivers accessible high-quality and sustainable healthcare for all.
Our company culture: Our talentedemployees or athenistas as we call ourselves spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge expertise backgrounds and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness accountability and support.
Our DEI commitment: Our vision of accessible high-quality and sustainable healthcare for all requires addressing the inequities that stand in the way. Thats one reason we prioritize diversity equity and inclusion in every aspect of our business from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas our partners customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits athenistas enjoy perks specific to each location including commuter support employee assistance programs tuition assistance employee resource groups and collaborativeworkspaces some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision we recognize that not all work needs to be done within an office environmentfull-time. With consistent communication and digital collaboration tools athenahealthenablesemployees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks we sponsor events throughout the year including book clubs external speakers and hackathons. We provide athenistas with a company culture based on learning the support of an engaged team and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here:
Staff IC
Employment Type
Full-Time
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