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CEREBRAS SYSTEMS INC.
Sunnyvale, CA, United States
Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation. We are innovating at every level of the stack – from chip,
Job Source: CEREBRAS SYSTEMS INC.contextual ai
Mountain View, CA, United States
About the role As an integral member of our research and development group, you will be responsible for designing, implementing, and deploying machine learning models to address practical challenges faced by our customers. The ideal candidate will possess a strong background in both machine learning theory and practical application, with a passion
Job Source: contextual aiContextual AI
Mountain View, CA, United States
About the role As an integral member of our research and development group, you will be responsible for designing, implementing, and deploying machine learning models to address practical challenges faced by our customers. The ideal candidate will possess a strong background in both machine learning theory and practical application, with a passion
Job Source: Contextual AIContextual AI, Inc.
Mountain View, CA, United States
Customer obsessed. We understand our customers and prioritize solving their challenges. We do more than listen to our customers, we invent on their behalf and anticipate their needs. Scout mindset. We seek to find the truth as quickly as possible and to see things as they are, not as we wish them to be. We are always curious and we always look fo
Job Source: Contextual AI, Inc.Karkidi
Cupertino, CA, United States
As an Applied ML Engineer in the Software Localisation team, you will join a phenomenal team of passionate engineers to design, implement and qualify Localisation features across a wide variety of Apple’s products. We are looking for an exceptional candidate to help architect the future of localizing ML models and machine translation. Your role is
Job Source: KarkidiDatabricks
Mountain View, CA, United States
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks
Job Source: DatabricksDice
Palo Alto, CA, United States
Our client 8bit.AI is a dynamic startup in the Bay Area, CA seeking to hire Full-time employees and focused on developing a high-performance, multi-technology, vendor-independent, xPU-based Accelerated Cloud Computing platform. We stack massive clusters purpose-built for high-performance parallel computing and aim to launch a global accelerated clo
Job Source: DiceApple Inc.
Cupertino, CA, United States
Software Engineer, Analytics & Applied ML Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers passionate about driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to enable / deploy ML e
Job Source: Apple Inc.Palo Alto, CA, United States
Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2 , rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling , the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena .
Nexusflow is currently adding A pplied ML Engineers to our team. Our Applied ML Engineers power our LLMs as well as Nexusflow’s methodologies for last-mile quality tooling for copilots and agents. They build the base layer of Nexusflow’s stack, contributing to tooling product and customer solutions.
Responsibilities Develop LLMs targeted at powering copilots and agents built for enterprise workflows
Develop toolings to attain last-mile quality and robustness for copilot & agents applications (especially under low volume of manually curated data)
Building copilot & agent application solutions for high value customer verticals
Wear many hats and collaborate with the whole team for product development, deployment and customer success
Qualification Required Research or industrial engineering experience in at least one of the following aspects in the context of large language model or multi-modality models:
Pre training
Copilots & agents building
Capability study and benchmarking
Excitement to contribute to both applied research and software engineering on productionizing the applied research outcome
Preferred Working experience in fast-pace teams In-depth experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI)
Experience in turning applied research results into product components
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Email Alert for Applied ML Engineer jobs in Palo Alto, CA, United States
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