…You will work on systems that determine inference latency, throughput, stability, and the reliability of RL and post-training training loops. Magic’s long…

…Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases. Provide…

…A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their…

…complex ML codebases and distributed systems. - Experience improving model behavior through data, reward modeling, or RL techniques. - Evidence of owning ambitious research or engineering…

…Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge…

…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…

…comfortable working close to real systems and real data, not just on benchmarks Excitement about the founding-team aspects of the role: hiring, agenda…

…at Snowflake. - Support team members in delivering a high level of technical quality. IDEAL REQUIREMENTS & QUALIFICATIONS: - Have 7+ years of industry experience designing, building…

…AI & GPU LANDSCAPE - Strong working knowledge of the modern AI stack - open model families, finetuning techniques (LoRA, QLoRA, full FT, RLHF/RLAIF), inference engines…

…Optimization and integration of inference systems into our RL training stack. CORE TECHNICAL RESPONSIBILITIES LLM Serving - Multi‑tenant LLM Serving: Build a multi-tenant…

…LLM training, inference, and HPC workloads - Present architectural recommendations to technical and executive stakeholders Infrastructure Deployment & Optimization - Deploy and configure orchestration systems including SLURM…

…We're seeking a technical leader to help shape the strategy, development & delivery of GenAI tools and agentic systems across Netflix Games. This is…

…novel RL techniques and algorithms BASIC QUALIFICATIONS: Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Experience in LLM inference Proficiency…

…As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data…

…A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their…

…at least one of: JAX / PyTorch / XLA. Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi…

…of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical…

ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators…

…IDEAL EXPERIENCE - Experience deploying and operating large-scale GPU systems for inference or model serving. - Several years of hands-on experience building and running…

Overview Microsoft AI is looking for a Member of Technical Staff – Capacity & Efficiency Infrastructure , to help us improve manage, and improve the efficiency of…

…one of the following: Distributed Training & Inference or Data Infrastructure - You enjoy working at the boundary between: - Machine learning algorithms - Distributed systems - High-performance…

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team…

…RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE As a Software Engineer on the Pre-training Systems…

…in principal/staff-level technical leadership. Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking). Expertise in graph ML, RL, and representation…

ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators…