Senior Applied Scientist, AWS Healthcare AI
TieTalent - Santa Clara
Work at TieTalent
Overview
- View job
Overview
Senior Applied Scientist, AWS Healthcare AI Join to apply for the Senior Applied Scientist, AWS Healthcare AI role at TieTalent Senior Applied Scientist, AWS Healthcare AI 16 hours ago Be among the first 25 applicants Join to apply for the Senior Applied Scientist, AWS Healthcare AI role at TieTalent Get AI-powered advice on this job and more exclusive features. About At AWS Healthcare AI, we're revolutionizing healthcare delivery through AI solutions that serve millions globally. As a pioneer in healthcare technology, we're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate our healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more. About At AWS Healthcare AI, we're revolutionizing healthcare delivery through AI solutions that serve millions globally. As a pioneer in healthcare technology, we're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate our healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more. Key job responsibilities To be successful in this mission, we are seeking an experienced Applied Scientist to lead pioneering research and development of new, highly confidential AI applications that re-imagine experiences for end-customers (e.g., consumers, patients), frontline workers (e.g., customer service agents, clinicians), and back-office staff (e.g., claims processing, medical coding). As a leading subject matter expert in NLU, deep learning, knowledge representation, foundation models, and reinforcement learning, you will guide a team of scientists to invent novel, generative AI-powered experiences. This role involves defining research directions, developing new ML techniques, conducting rigorous experiments, and ensuring research translates to impactful products. You will be a hands-on technical innovator who is passionate about building scalable scientific solutions. You will set the standard for excellence, invent scalable, scientifically sound solutions across teams, define evaluation methods, and lead complex reviews. This role wields significant influence across AWS, Amazon, and the global research community. Basic Qualifications PhD, or Master's degree and 6+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Passion for applying ground breaking AI to solve complex business challenges at a global scale. Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Strong publication record in top-tier journals and conferences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site. Nice-to-have skills Deep Learning Machine Learning Java C++ Python R Scikit-learn MxNet TensorFlow Numpy SciPy Santa Clara, California Work experience Machine Learning NLP Languages English Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TieTalent by 2x Sign in to set job alerts for “Applied Scientist” roles. Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 6 hours ago Data Scientist, Product, Play Data Science and Analytics Mountain View, CA $183,000.00-$271,000.00 2 weeks ago Mountain View, CA $166,000.00-$244,000.00 2 weeks ago Introduce Yourself - Submit your resume to Descope Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 1 week ago Scientist: Robot Learning for AI Supported Teleoperation ... Research Scientist/Engineer, Mobile Manipulation - Behaviors (General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) San Jose, CA $145,000.00-$250,000.00 2 days ago San Jose, CA $142,700.00-$257,600.00 5 days ago Senior Data Scientist, Research, Ads Insights, Measurement Mountain View, CA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer Graduate (CV/NLP/Multimodal/LLM - E-Commerce Governance) -2025 Start (BS/MS) San Jose, CA $112,200.00-$129,600.00 5 days ago Research Scientist – Molecular Pathology Fremont, CA $75,000.00-$90,000.00 1 week ago San Jose, CA $163,360.00-$245,040.00 2 weeks ago San Mateo County, CA $42.00-$52.00 3 weeks ago Research Scientist - Central Applied Science Menlo Park, CA $70.67-$208,000.00 2 weeks ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000.00-$291,000.00 1 week ago Research Scientist (AI) – Biomedical Imaging Palo Alto, CA $100,000.00-$300,000.00 4 weeks ago Research Scientist Intern (TikTok- Data- RecScience) - 2025 Summer (PhD) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr