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CrowdAI
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: CrowdAISkale 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 TalentAtlassian
San Francisco, CA, United States
Overview: Working at Atlassian Atlassians have flexibility in where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conduc
Job Source: AtlassianTriunity 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.TEEMA
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: TEEMANtropy
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: NtropyProprius
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: PropriusKuraray 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.San Francisco, CA, United States
You’re a machine learning engineer who is an expert at productionizing and optimizing models.
We have a huge library of community-contributed machine learning models. You’ll maintain some of the most popular ones so they’re fast and reliable.
It’ll involve implementing open-source models, optimizing them, and doing general maintenance on them. It’s part ML engineer, part open-source gardener.
We’re Looking For The Right Person, Not Just Someone Who Checks Boxes, So You Don’t Need To Satisfy All Of These Things. But, You Might Have Some Of These Qualities
A balance of software engineering and machine learning skills. - You can squeeze every last drop of performance out of a GPU. - You’ve worked with model compression techniques like pruning and distillation. - You know your way out of CUDA error: device-side assert triggered. - Ideally you’re involved in the generative AI community and familiar with diffusion models and similar techniques. - You don’t need a PhD or know how to build new architectures from scratch. - Excellent communication skills. We think most of being a programmer is not programming. We want you to be able to communicate complex topics clearly, write down your thinking, write good docs, etc.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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