Clairity is looking for mission-driven, thoughtful, motivated individuals to become integral players on our team. We are committed to mentoring and growing our employees while offering them the autonomy and responsibility to have a major impact. Our work environment is flexible, but our community is bonded by the exhilaration we feel as we work together to empower patients and change the way care is delivered around the globe.
Clairity supports diversity, equity and inclusion both in our solutions and as we grow our organization. We actively encourage people of color, humans of all genders, members of the LGBTQ+ community, veterans, individuals with disabilities, and all other beautifully diverse people on this planet to apply.
Clairity is seeking an experienced Machine Learning Operations (MLOps) Data Engineer to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we build mammography-based machine learning (ML) applications that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art applications to solve novel real-world healthcare problems.
The successful candidate will have a deep understanding of data architecture, machine learning deployment pipelines, and cloud computing technologies. He or she will be responsible for designing and implementing robust, scalable data and model maintaining systems within an AWS cloud ecosystem that support training and deploying machine learning models in production. The ideal candidate has excellent problem-solving and analytical skills, and is a team player, highly motivated self-starter, detailed-oriented with demonstrated ownership, accountability, and commitment to high quality deliverables.
Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is located in Austin, TX. The location of the position is flexible within the United States, with the ability to work remotely from home.
Primary Responsibilities
Requirements (Essential)
Requirements (Preferred)
Education
For More Information, Please Send Resume To:
Clairity is seeking a Senior Software Engineer to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we build mammography-based machine learning (ML) applications that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art applications to solve novel real-world healthcare problems.
The Sr. Software Engineer will be a key contributor of the Engineering organization. This individual with versatile software engineering skills and technical leadership abilities will be responsible for the design, implementation and maintenance of state-of-the-art ML-based cloud applications and will assist in the integration of these applications into customers’ clinical workflow. The Sr. Software Engineer will work closely with other Software engineers, ML engineers, SQA engineers, product managers as well as customers and data partners to develop commercial-grade cloud applications.
The ideal candidate will have a strong background in API development, cloud computing, big data software technologies applied to ML pipelines as well as experience in software reliability. The ideal candidate should be comfortable building software for a production environment to support ML applications as a medical device. He or she will have a strong understanding of data structures, best software development practices, and software architecture. The ideal candidate is a team player, highly motivated self-starter, accountable, committed to high quality deliverables, and enjoys working in a fast-paced environment.
Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is located in Austin, TX. The location of the position is flexible within the United States, with the ability to work remotely from home.
Primary Responsibilities
Requirements
Education
For More Information, Please Send Resume To:
Clairity is seeking an experienced Software Development Engineer in Test (SDET) to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we will build mammography-based machine learning (ML) solutions that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art applications to solve novel real-world healthcare problems.
We are seeking a highly skilled, experienced SDET Engineer to join our dynamic and growing team. In this role, you will work closely with our development team to design and implement testing strategies, and to ensure the robustness and reliability of our ML-powered cloud-based product.
The ideal candidate will have strong skills in software development and software test automation. He or she is a team player, highly motivated self-starter, detailed-oriented with demonstrated ownership, accountability, and commitment to high quality deliverables.
Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is in Austin, TX. The location of the position is flexible within the United States, with the ability to work remotely from home.
Primary Responsibilities
Requirements (Essential)
Requirements (Preferred)
Education
For More Information, Please Send Resume To:
Clairity is seeking a Principal Machine Learning (ML) Engineer to lead our efforts in revolutionizing healthcare through innovative medical imaging solutions. With a primary focus on advancing breast cancer screening, we are dedicated to developing cutting-edge machine learning (ML) technologies that accurately predict cancer risk, tailor personalized care plans, foster trust, and ultimately save lives. We are looking for a dynamic technical leader who shares our passion for machine learning to address real-world healthcare challenges and with strong experience of bringing state-of-the-art algorithms into production environments and monitoring ML models while in use by customers.
The Principal Machine Learning Engineer will play a pivotal role in contributing to the model development, deployment, scaling, and maintenance of advanced ML solutions, while also participating to the improvement of our ML development and production pipelines. This role will involve close collaboration with research partners, data engineers, ML engineers, software engineers, and clinical experts to deliver robust ML solutions that meet stringent regulatory standards.
The ideal candidate will possess robust expertise in developing, optimizing, deploying, and monitoring machine learning models tailored specifically for medical imaging applications. Moreover, they will demonstrate a proven track record in delivering FDA-compliant machine learning solutions within dynamic, high-pressure environments. The ideal candidate is a humble technical leader and team player with a can-do attitude, demonstrated ownership, accountability, and commitment to high quality deliverables.
Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is in Austin, TX. The location of the position is flexible within the United States, with the ability to work remotely from home.
Primary Responsibilities
Requirements (Essential)
Requirements (Preferred)
Education
For More Information, Please Send Resume To: