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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineer, Model Inference”. A match may be a passing mention rather than the job itself. Titles only.
143 roles across 169 listings · show every listing · page 1 of 6
…models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers…
…Computer Science, Engineering, Mathematics, or a related field - Knowledge of machine learning model architecture and inference - 3+ years of full software development life cycle…
…Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency…
…You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks . As a contributing member…
…Technical leadership skills and ability to mentor early-in-profession engineers. #MicrosoftAI Software Engineering IC5 - The typical base pay range for this role across…
…Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated…
…Partner with engineers to productionize models, decision systems, data products, and experimentation infrastructure. Own post-launch decision quality by monitoring model and KPI performance…
…experience reasoning about model routing, inference cost, and latency tradeoffs in production Strong software engineering fundamentals: distributed systems, API design, and testing discipline Comfort…
In this role, you will be a member of the AI Networking Software team and part of the bigger DC networking organization. The team…
…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…
…About the team The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity…
…needs of Large Language Models (LLMs) workflows. Solve technically tests problems that exceed the scope of a generalist Software Engineers, specifically around optimizing Generative…
…Co ‑ design hardware/firmware/software boundaries (register maps, DMA, interrupt models, driver interfaces) with control/readout software and instrument teams; contribute to system ‑ level…
…3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master…
…You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine…
…The ideal candidate will work with various science, engineering, operations, and analytics teams to estimate models and algorithms on large scale data, design pilots…
…About the team The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with…
…with Principal Engineers, SDMs, and Principal Scientists, identifying dependencies, scaling factors, boundary conditions, and risks across horizontal distributed systems serving AI inference at global…
…You will build causal inference models and experiments to evaluate policy impact on seller outcomes, and shape how our products evolve into trustworthy autonomous…
The Music Catalog Quality team is seeking a passionate and talented Machine Learning Engineer (MLE) to join us. The Music Catalog Quality team is…
…As Lead Machine Learning Engineer on the Digital Intelligence team, you will be collaborating with a high-caliber team of software developers and deep…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…and inferential statistics Experience independently managing study logistics: recruiting, scheduling, compensation Clear, effective communicator who can tailor findings for product and engineering audiences Experience…
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission…