- MongoDB (Palo Alto, CA)
- …particularly in multi-tenant environments + 1+ years of experience serving as TL for a large - scale ML inference or training platform SW project **Nice to ... embedding models. Together, we're building the infrastructure that enables real-time, high- scale , and low-latency inference - all deeply integrated into… more
- DoorDash (San Francisco, CA)
- …GPT-OSS or BERT. + Hands-on experience with Kubernetes/EKS, microservice architectures, and large - scale orchestration for inference workloads. + Cloud ... model serving to drive the next generation of our inference platform. This is a highly technical, hands-on role:...8+ years of engineering experience, including building or operating large - scale , high-QPS ML serving systems. + Bring… more
- Snap Inc. (San Francisco, CA)
- …development experience; or PhD in a relevant technical field + Experience building large scale production machine learning systems, distributed systems or big ... efficiency + Good understanding of distributed systems and the infrastructure components of large - scale ML + Experience with big data processing frameworks such… more
- DoorDash (San Francisco, CA)
- …platform and Adaptive Learning platform (RL/MAB) + Expand the statistical and causal inference algorithms to support large - scale experimentation volume and ... methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques + Drive the statistical and ML… more
- Capital One (San Francisco, CA)
- …Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies._ + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
- Capital One (San Francisco, CA)
- …Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies. + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
- Genentech (South San Francisco, CA)
- …focus is on developing foundation models-general-purpose AI models trained on large - scale biological datasets-which we fine-tune for specialized applications. ... of multi-modal biological data** to improve target assessment. + ** Inference of cellular communication** using spatial transcriptomics and proteomics. +… more
- Genentech (South San Francisco, CA)
- …a deep understanding of hardware features and performance characteristics to optimize large - scale AI and scientific computing workloads. + Support benchmarking ... engineers to accelerate AI-driven discovery by improving training and inference efficiency. **Key Responsibilities:** + Assist in optimizing GPU-accelerated… more
- Capital One (San Francisco, CA)
- …+ Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies. + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
- DoorDash (San Francisco, CA)
- …Staff Machine Learning Engineer to drive the design and development of large - scale ML/optimization systems to target personalization efforts across the DashPass ... In this role, you will: + Contribute to Causal inference modeling to measure the incremental impact of DashPass...IC role for someone who enjoys combining economic intuition, large - scale ML modeling, and system design to… more
- Amazon (San Francisco, CA)
- …models - Track record of successful production ML deployments - Experience with large - scale distributed systems - History of technical leadership and team ... that bridge the gap between research and real-world deployment at Amazon scale . In this role, you'll combine hands-on technical work with scientific leadership,… more
- DoorDash (San Francisco, CA)
- …To Haves + Experience with challenges in real-time computing + Experience with large scale distributed systems, data processing pipelines and machine learning ... to build systems that empower efficient machine learning at scale . This is a hybrid opportunity in San Francisco,...the reliability, scalability, and observability of our training and inference infrastructure. We're excited about you because + BS,… more
- Meta (Burlingame, CA)
- …post-production audio, final mixing and mastering, audio field recording, sound effects, and large scale content projects across a wide range of software and ... (TensorFlow, PyTorch, ONNX) into production pipelines for tasks such as inference , data processing, and generative workflows 18. Experience debugging code across… more
- Cisco (San Francisco, CA)
- …data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. **Your ... an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep… more