AKASA
Senior Machine Learning Engineer, Systems
AKASA, Myrtle Point, Oregon, United States, 97458
Senior Machine Learning Engineer, SystemsQualifications
Master's degree in Computer Science or similar5+ years of work experience in machine learning or data engineeringExperience launching production systems from the ground upProficiency in one or more programming languages such as Python and C++Development experience with big data technologies such as SQL and AWS/Cloud PlatformKnowledge of machine learning frameworks such as Pytorch and/or TensorflowFull-stack development experience for an end-to-end machine learning solutionIdeal experience with Natural Language Processing or Computer VisionResponsibilities
As a remote Senior Machine Learning Engineer, Systems, you'll report to our Engineering Manager, Machine Learning and work with machine learning PhDs from top schools (e.g., Stanford, Cornell, UC Berkeley), and experienced machine learning engineers from top companies (e.g., Google, Facebook, Amazon)You will put machine learning into practice, so your code directly affects our customers immediatelyParticipate in developing state-of-the-art machine learning solutions to address large scale healthcare problemsDesign and build pipelines that collect, preprocess, and deliver data with measurable qualityWrite production-ready software with fast and efficient algorithmsOwn machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deploymentHelp build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting waysOpportunity to quickly make an impact and become a leader on the ML teamDevelop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome predictionBenefits
Unlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parent leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensation based on market data and other factors; salary range for this position is $175,000-$230,000 + EquityAbout AKASA
AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees. Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. We are building the future of healthcare with AI. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.
#J-18808-Ljbffr
Master's degree in Computer Science or similar5+ years of work experience in machine learning or data engineeringExperience launching production systems from the ground upProficiency in one or more programming languages such as Python and C++Development experience with big data technologies such as SQL and AWS/Cloud PlatformKnowledge of machine learning frameworks such as Pytorch and/or TensorflowFull-stack development experience for an end-to-end machine learning solutionIdeal experience with Natural Language Processing or Computer VisionResponsibilities
As a remote Senior Machine Learning Engineer, Systems, you'll report to our Engineering Manager, Machine Learning and work with machine learning PhDs from top schools (e.g., Stanford, Cornell, UC Berkeley), and experienced machine learning engineers from top companies (e.g., Google, Facebook, Amazon)You will put machine learning into practice, so your code directly affects our customers immediatelyParticipate in developing state-of-the-art machine learning solutions to address large scale healthcare problemsDesign and build pipelines that collect, preprocess, and deliver data with measurable qualityWrite production-ready software with fast and efficient algorithmsOwn machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deploymentHelp build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting waysOpportunity to quickly make an impact and become a leader on the ML teamDevelop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome predictionBenefits
Unlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parent leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensation based on market data and other factors; salary range for this position is $175,000-$230,000 + EquityAbout AKASA
AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees. Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. We are building the future of healthcare with AI. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.
#J-18808-Ljbffr