Jobs
Indexed directly from employers. Every age is their own publish date.
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 “Machine Learning Engineer - Inference”. A match may be a passing mention rather than the job itself. Titles only.
1,488 roles across 1,734 listings · show every listing · page 1 of 60
About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance…
…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…
…You will own hard problems in inference efficiency, hardware/software codesign, systems architecture, and tooling, and help set the technical direction for the engineers…
…Role We are looking for a performance engineer who specializes in making large-scale machine learning workloads fast and cost-efficient in the datacenter…
…Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a member of the Low Power AI Solution team, you will conduct advanced research…
…machine learning services, and frameworks. - Strong track record of working with machine learning systems and/or platforms. - Experience in serving LLMs using inference engines…
…We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI…
…Engineer, Model Inference at Abridge, you’ll play a pivotal role in building and optimizing the core inference infrastructure that powers our machine learning…
…foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of machine learning model architecture and inference - 3+ years of full software…
…Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production. Track record of promoting statistical rigour and experimental best…
…Experience applying machine learning, statistical modeling, optimization, or causal inference to real-world product or business problems. Strong Python, C/C++, or Go programming…
…experience reasoning about model routing, inference cost, and latency tradeoffs in production Strong software engineering fundamentals: distributed systems, API design, and testing discipline Comfort…
…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…
The mission of Thinking Machines is to build AI that extends human will and judgment. ABOUT THE ROLE Our team scales reinforcement learning for…
…Experience with Machine Learning (ML) hardware accelerators and ML inference software. Preferred qualifications: PhD in Computer Engineering, Computer Science, or a related field. 2…
…Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale. Use causal inference…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…
MACHINE LEARNING ENGINEER - GROWTH & PERSONALISATION Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive…
…AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward…
…To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation…
…able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products…
…in causal inference and applied econometrics. Experience with large-scale data, proficiency in statistical programming (Python), and familiarity with machine learning methods are a…
…processes, testing, and operations experience - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Our inclusive culture…
…with Principal Engineers, SDMs, and Principal Scientists, identifying dependencies, scaling factors, boundary conditions, and risks across horizontal distributed systems serving AI inference at global…
…problems. • Experience in applied economic analysis with big data, causal inference, machine learning and data science. • Demonstrated ability to build complex economic models from…