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Ntropy
San Francisco, CA, United States
While significantly more efficient than humans for many tasks, the cost and latency of LLMs is still prohibitive for most real world applications. At Ntropy, our mission is to make LLMs viable at scale. We are developing a new kind of domain-specific wrappers for language models, that leads to a reduction in the number of queries to the base model
Job Source: NtropyProbably Genetic
San Francisco, CA, United States
About Probably Genetic: Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and a
Job Source: Probably GeneticCrowdAI
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at CrowdAI (United States) | BEAMSTART Jobs Machine Learning Engineer CrowdAI United States Date Posted 26 Jun, 2022 Work Location San Francisco, United States Salary Offered Not Specified Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1 available Apply online:
Job Source: CrowdAITriunity Software, Inc.
San Francisco, CA, United States
JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale. Responsibilities: Design and develop i
Job Source: Triunity Software, Inc.Infinitus Systems
San Francisco, CA, United States
About the role: We are looking for software engineers interested in designing elegant solutions to difficult problems in the process automation space to work in our ML team. At Infinitus, we encourage engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, d
Job Source: Infinitus SystemsNtropy Network Inc
San Francisco, CA, United States
Join us in making Large Language Models (LLMs) viable for real-world, high throughput, tasks, starting with finance. While significantly more efficient than humans, the cost and latency of LLMs is still prohibitive for most applications. At Ntropy, our mission is to make LLMs viable at scale. We are developing a new kind of domain-specific wrappers
Job Source: Ntropy Network IncHEALTH[at]SCALE Technologies
San Francisco, CA, United States
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and t
Job Source: HEALTH[at]SCALE TechnologiesTEEMA
San Francisco, CA, United States
MUST have experience with Retrieval-Augmented Generation. Please do not apply to this position without this experience. 5 years experience as an engineer o Could be tech / F500 or start-ups, ideally start-up should have some ML/data focus o Experience with working on non-mature infrastructure (some big-tech candidates have only used internal tools)
Job Source: TEEMASan Francisco, CA, United States
Machine Learning Engineer/AI Engineer Digital : Artificial Intelligence(AI), Digital : Azure Machine Learning (Client) Machine Learning Engineer/AI Engineer
R Python Data Science Experience Must
Azure Client Experience Must
NLP experience prefered
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Machine Learning Engineer/AI Engineer jobs in San Francisco, CA, United States
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