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Probably 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: CrowdAIQuinStreet
Foster City, CA, United States
Job Description Job Description Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading
Job Source: QuinStreetKuraray America, Inc.
San Mateo, CA, United States
The Role: We are seeking a self-motivated, experienced Machine Learning Engineer* to develop, deploy, and refine tools to accelerate our antibody design cycle. *At BigHat we believe in titles that are commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with
Job Source: Kuraray America, Inc.Proprius
San Francisco, CA, United States
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process
Job Source: PropriusNtropy
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: NtropyShipt
San Francisco, CA, United States
Shipt, Inc. seeks a full-time Machine Learning Engineer based in San Francisco, CA. This role will drive the development and deployment of key AI initiatives (e.g., personalization, price optimization, promotion optimization, and ad tech platform) and services (e.g., quality, efficiency, security, and affordability). This position requires a Master
Job Source: ShiptSkale Talent
San Francisco, CA, United States
We’re partnering with a leading autonomous driving company in San Francisco who are looking for a Senior Machine Learning Engineer to join their team. They are working on a scalable highway autonomy product for the consumer car market. Working directly with several OEM partners, they’re building an end-to-end solution to L4 autonomy, seamlessly int
Job Source: Skale TalentSan Francisco, CA, United States
Casca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding.
What you'll do:
Contribute rapidly to our core software platform that automates the lending process and helps our customers operate their banks more efficiently
Develop and own new features that increase value for our customers
Propose meaningful improvements to our software architecture and design patterns
Learn and drive engineering best practices
Leverage automating testing and continuous integration / continuous delivery in order to rapidly iterate on our product
What you'll bring:
4+ years of experience in software engineering, with a strong focus on machine learning, AI and natural language processing
Proven track record of planning and executing significant projects with long-term impacts
Solid understanding of modern programming languages and frameworks (e.g., Python, Next.js, React, TypeScript, etc.)
Experience with database technologies (Postgres) and cloud platforms (AWS)
Strong problem-solving skills and a knack for innovative thinking
Excellent communication skills and a collaborative team spirit
Founding Team:
Lukas (Stanford MBA), grew a banking software company to $150M+ ARR & 400+ employees.
Isaiah (Stanford CS), build a conversational AI platform to handle 10M+ conversations each year @ a Series C startup.
Our Culture:
Ownership: We take responsibility and do not assign blame. Building great software is hard and when something is broken, we ask ourselves "How can I fix it?"
Competition & Excellence: We are a fun group of former competitive athletes and gamers. We like to win and we know that the only thing between us and the title is our own ability to improve every day.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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