A leading manufacturing AI firm in San Francisco is seeking an experienced engineer to design and implement core services for their distributed real-time data streaming platform.
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. LLM fine tuning, deep learning, or human‑in‑the‑loop machine learning). At Faire, we’re using the power
The ideal candidate will have a strong foundation in machine learning, statistical analysis, and causal inference. This role involves leading the design and deployment of advanced forecasting models and collaborating with finance teams.
Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. As a Software Engineer, AI/ML, you will design, b
Design and deploy machine learning models that take camera images, lidar data, and radar data and estimate weather conditions. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learni
Candidates should have at least 3 years of software engineering experience and 2 years in data engineering, possess strong problem-solving skills, and have expertise in Big Data technologies like AWS, Spark, and Hadoop. This role focuses on building a scalable big data platform to support real-time
RTL Design Engineer, University Graduate, PhD, Machine Learning. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your
As part of our expanding Data Science function, we're building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. Build time-dependent statistical and machine learning models. We're looking for a senio
We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Should have progressing knowledge in Business Analysis, Business Knowledge, Software Engineering, Testing, Data Management, Architecture Knowledge and Technical Solution Design. Must be hands-on