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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
Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to use product. You will be part of a dynamic team dedicated to pushing the boundaries of what's possible with machine learning, particularly in the realms of content discovery and personalization.
Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
Responsibilities
Develop, train, and optimize machine learning models for recommendation systems.
Build groundwork infrastructure for retrieval.
Work with real world data to create scalable feedback loops.
Incorporate state of the art LLMs into traditional machine learning systems.
Qualifications
Experience with machine learning at scale.
Experience with retrieval infrastructure.
Creative problem-solving skills with an ability to explore a new landscape of models.
Eagerness to build from 0 to 1 and unlock potential in new products.
Familiarity with big data pipelines for feature engineering.
At least 6 years of experience with machine learning and backend engineering.
The cash compensation for this role is $200,000 to $250,000.
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.
To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.
Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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