AKASA
Sr. Machine Learning Engineer
AKASA, South San Francisco, California, us, 94083
About AKASA
AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. The company has raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
Named one of the fastest-growing GenAI startups to watch by AIM Research, we’re solving the biggest challenges in the financial infrastructure of healthcare. Transaction volume through the AKASA Platform has grown consistently, with a ~ 2.5x
year-over-year increase in the last year. The AKASA customer base represents more than $90B in net patient revenue and includes the most innovative health systems in the country, like Stanford and Johns Hopkins.
Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report. We have been recognized as one of “America’s Best Startup Employers” by Forbes, “Most Innovative Digital Health Startups” by CB Insights, “Best Companies for Remote Workers” by Quartz, and “Best Places to Work” by Fortune, Modern Healthcare, and Built-In, along with being certified as a “Great Place to Work” for the past four years in a row.
Learn more at
www.AKASA.com .
We are building the future of healthcare with AI. Everyone is welcome. As an inclusive workplace, we are committed to building an environment where our employees are comfortable bringing their authentic selves to work.
Join us!
About the Role
As a remote Senior Machine Learning Engineer, 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 immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.
AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.
What You'll Do
Participate in developing state-of-art machine learning solutions to address large scale healthcare problemsDesign and build pipelines that collect, preprocess, and deliver data with a 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 becoming 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 predictionSkills & Qualifications
Master's degree in Computer Science or similar5+ years of work experience in machine learning or data engineeringHave experience 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 VisionWhat We Offer
Unlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensation
Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.
AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the
San Francisco Fair Chance Ordinance.
AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.#J-18808-Ljbffr
AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. The company has raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
Named one of the fastest-growing GenAI startups to watch by AIM Research, we’re solving the biggest challenges in the financial infrastructure of healthcare. Transaction volume through the AKASA Platform has grown consistently, with a ~ 2.5x
year-over-year increase in the last year. The AKASA customer base represents more than $90B in net patient revenue and includes the most innovative health systems in the country, like Stanford and Johns Hopkins.
Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report. We have been recognized as one of “America’s Best Startup Employers” by Forbes, “Most Innovative Digital Health Startups” by CB Insights, “Best Companies for Remote Workers” by Quartz, and “Best Places to Work” by Fortune, Modern Healthcare, and Built-In, along with being certified as a “Great Place to Work” for the past four years in a row.
Learn more at
www.AKASA.com .
We are building the future of healthcare with AI. Everyone is welcome. As an inclusive workplace, we are committed to building an environment where our employees are comfortable bringing their authentic selves to work.
Join us!
About the Role
As a remote Senior Machine Learning Engineer, 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 immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.
AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.
What You'll Do
Participate in developing state-of-art machine learning solutions to address large scale healthcare problemsDesign and build pipelines that collect, preprocess, and deliver data with a 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 becoming 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 predictionSkills & Qualifications
Master's degree in Computer Science or similar5+ years of work experience in machine learning or data engineeringHave experience 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 VisionWhat We Offer
Unlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensation
Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.
AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the
San Francisco Fair Chance Ordinance.
AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.#J-18808-Ljbffr