- Capital One (San Francisco, CA)
- Lead AI Engineer (FM Hosting, LLM Inference ) **Overview** At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For ... developing, delivering, and supporting AI services + Experience developing AI and ML algorithms or technologies (eg LLM Inference , Similarity Search and… more
- Snap Inc. (San Francisco, CA)
- …the forefront. You'll play a critical role in scaling our ML Infrastructure , optimizing AI training and inference systems, and driving innovations that make ... more efficient and impactful. We're looking for a Software Engineer , ML Infrastructure to join...serving + Build infrastructure to perform scalable ML model training, evaluation, and inference in… more
- DoorDash (San Francisco, CA)
- …or operating large-scale, high-QPS ML serving systems. + Bring deep familiarity with ML inference and serving ecosystems. + Know how to leverage and extend ... About the Role We're looking for a Staff Software Engineer with deep expertise in ML model...model serving to drive the next generation of our inference platform. This is a highly technical, hands-on role:… more
- Autodesk (San Francisco, CA)
- …faster decision-making. The Role We're looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk's B2C eCommerce platform. This ... If you're passionate about solving ambiguous business problems and building scalable ML systems-even if you don't meet every qualification-we encourage you to apply.… more
- DoorDash (San Francisco, CA)
- …and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search ... retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization...Economics, or other quantitative field + Expertise in applied ML for Causal Inference and Recommendation Systems… more
- DoorDash (San Francisco, CA)
- …business. + Improve the reliability, scalability, and observability of our training and inference infrastructure . We're excited about you because + BS, MS, or ... us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash's three-sided marketplace of consumers,...About the Role At DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a… more
- pony.ai (Fremont, CA)
- …Datadog; SLOs, incident response, postmortems). + Familiarity with workloads common to AI/ ML systems (training, inference ). Compensation and Benefits Base Salary ... public at NASDAQ in November 2024. Responsibilities As a (Senior) Kubernetes Engineer , you will: + Design, operate, and optimize Kubernetes clusters across hybrid… more
- Autodesk (San Francisco, CA)
- …+ Design, build, and maintain highly scalable, low-latency data pipelines supporting real-time ML inference and personalization. + Build data pipelines for RAG ... and recommendation engines. + Develop sophisticated data models optimized for ML training, real-time inference , and analytics workloads. + Implement… more
- Amazon (San Francisco, CA)
- …other engineers on the team or related teams + Contribute to shaping the ML infrastructure roadmap, ensuring continual enhancement of our platform + Collaborate ... equivalent experience. **Bonus Points** + Experience building and launching large-scale ML infrastructure for recommendations, ads personalization, search etc. +… more
- Amazon (San Francisco, CA)
- …human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to ... our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML...machine learning models, frameworks, and data pipelines * Optimize ML training, inference , and evaluation workflows for… more
- Amazon (San Francisco, CA)
- …foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming cutting-edge ... applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale. In this role, you'll balance deep… more
- Genentech (South San Francisco, CA)
- …with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and ... **What you'll do** + Design, implement, and maintain scalable and reliable ML infrastructure , leading the architecture and delivery of significant technical… more
- Meta (Menlo Park, CA)
- …learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure , high performance computing, performance ... path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.At… more
- Oracle (San Francisco, CA)
- **Job Description** At Oracle Cloud Infrastructure (OCI), we are building the future of cloud computing-designed for enterprises, engineered for performance, and ... AI Service team within OCI is focused on developing infrastructure and tools to operationalize Large Language Models (LLMs)...with cloud services. Role Summary As a Principal Software Engineer (IC4), you will contribute to the design and… more
- Autodesk (San Francisco, CA)
- …Autodesk's develop computer and network software or specialized utility programs. Design and engineer software systems part of the next generation Autodesk ML ... team. Identify opportunities to automate and streamline processes to improve ML development. Build end-to-end systems to automate time-consuming processes such as… more
- Amazon (San Francisco, CA)
- …breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel ... applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale. In this role, you'll balance deep… more
- DataRobot (San Francisco, CA)
- …sense for their business - today and in the future. As a Principal Software Engineer for Generative AI at DataRobot, you will be the technical anchor for our GenAI ... Onboarding,Tools, Multi-Agent Evaluations, Multimodality, etc.) and GenAI systems (eg Inference optimization, Distributed Training, Finetuning, Distillation, LLM Moderation and… more
- Unity Technologies (San Francisco, CA)
- **San Francisco, CA, USA** **Senior Machine Learning Engineer , Ads Demand Optimization** Location San Francisco, CA, USA Department Engineering Requisition ID ... mechanism design, and multi-objective optimization. + Probabilistic modeling, causal inference , and counterfactual evaluation. + Online learning, off-policy evaluation,… more
- Cisco (San Francisco, CA)
- …Join our innovative engineering team focused on building next-generation AI/ ML solutions. You'll collaborate with skilled colleagues across platform, security, ... backend development using Go or Python. + Understanding of LLM infrastructure and optimization, validated by technical interview responses, project documentation, or… more
- Cisco (San Francisco, CA)
- …that power AI across Splunk and Cisco. We manage large-scale, multi-tenant LLM inference across major cloud providers and build platform services to support these ... You'll join a group that sits at the intersection of distributed systems, ML , and developer experience, grounded in operational excellence and a culture of… more