Weights & Biases
Data AI · ML experiment tracking
Data AI · ML experiment tracking
Weights & Biases currently has 47 active AI-related job listings. The majority of these roles, 51%, are focused on serving infrastructure, with an additional 34% dedicated to agents. Engineering is the primary function being hired for, with the United States being the dominant hiring country. The company is frequently seeking candidates with experience in model serving, inference infrastructure, and LLM observability. Over the last 30 days, there has been a 75% decrease in new AI roles posted, with 4 new positions compared to 16 in the preceding 30-day period.
Currently tracking 35 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $92k–$341k (avg $211k).
Weights & Biases currently has 45 active AI-related roles in our index. The most common open titles are: Account Solution Architect (5), Account Solutions Architect - Greenfield (2), Account Solution Architect - Financial Services, Applied AI Engineer, Inference, Forward Deployed Engineer, AI Agents. Most positions are in Engineering and Product.
Weights & Biases's active AI hiring is concentrated in: serving infrastructure (51%), agents (38%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Weights & Biases is hiring AI talent in: United States (43 roles), United Kingdom (2 roles), Canada (1 role).
Job postings at Weights & Biases most frequently mention: GPU Computing, Kubernetes, Production ML Systems, ML Ops, Storage Systems.
In the past 30 days, Weights & Biases has posted 5 new AI-related roles. That is a -50% change versus the prior 30 days (10 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - GPU Kernel Authoring & Optimization Senior Software Engineer focused on authoring and optimizing GPU kernels for large-scale LLM inference serving. The role involves deep understanding of GPU architecture, CUDA programming, and performance benchmarking to achieve maximum throughput and minimum latency. Responsibilities include kernel development, optimization, benchmarking, and contributing to the inference stack's performance and reliability. | Serve | 9 |
| Senior Applied Research Engineer The OpenPipe team at CoreWeave is building tools to help agents learn from experience, focusing on solving bottlenecks for self-improving agents. This role involves applied research to enable continuous learning in production, working with LLM post-training techniques and agent development. | Post-train |
| 9 |
| Staff Applied Research Engineer CoreWeave's OpenPipe team is building tools for agents to learn from experience, aiming to make them reliable for autonomous long tasks. The role involves applied research to solve obstacles in continuous learning for production, focusing on LLM post-training, reinforcement learning, and agent development. The team has released tools like ART, RULER, and Serverless RL, and is seeking someone with deep expertise in LLM training and a strong research background to contribute to self-improving agents. | Post-trainAgent | 9 |
| VP of Product, Research and Training Infrastructure VP of Product for Research and Training Infrastructure at an AI cloud provider. This role owns the product strategy and engineering execution for services powering AI research labs, focusing on specialized orchestration, evaluation, and iteration tools for massive-scale pre-training and post-training. Key responsibilities include evolving orchestration tools (SUNK), developing automated training-based evaluation frameworks, and building infrastructure for RL/RLHF pipelines. Requires deep knowledge of HPC, distributed training, and supporting frontier model research. | PretrainPost-train | 9 |
| Forward Deployed Engineer, AI Agents This role involves embedding within customer AI teams to help them build and deploy AI agents using the W&B Weave developer toolkit. It's a hands-on, customer-facing engineering position focused on designing, prototyping, and productionizing AI agents, acting as a technical advisor, developing reference implementations, and gathering customer feedback to influence the product roadmap. | Agent | 8 |
| Account Solutions Architect - Greenfield CoreWeave is seeking an Account Solutions Architect to be the technical partner for prospective AI customers, helping them design, build, and scale AI workloads on CoreWeave's platform. This role involves leading PoCs, acting as a trusted advisor on AI best practices, and translating customer needs into technical solutions. The ideal candidate has hands-on experience with training, fine-tuning, evaluating, and deploying deep learning models, particularly LLMs, and designing production LLM-powered applications. | AgentPost-train | 8 |
| Staff Specialist Field Engineer, Autonomous Vehicles Staff Specialist Field Engineer for Autonomous Vehicles at CoreWeave, focusing on deploying AI solutions in enterprise engineering organizations. The role involves establishing and leading the AV vertical, defining engagement strategies, setting technical standards, and leading customer engagements from initial contact to deployment. Requires deep ML expertise to build, validate, and deploy solutions independently using CoreWeave's AI platform, and translating field observations into product signals. | ShipAgent | 8 |
| Staff Specialist Field Engineer, Robotics Staff Specialist Field Engineer for Robotics at CoreWeave, focusing on deploying AI/ML solutions for robotics customers. The role involves establishing the robotics vertical, defining engagement strategies, leading customer engagements from scoping to deployment, and building/iterating on customer-facing applications using CoreWeave's AI platform. Requires deep understanding of robotics systems, ML capabilities, and the ability to translate field observations into product signals. | ShipAgent | 8 |
| Account Solution Architect This role is for an Account Solutions Architect at CoreWeave, an AI-focused cloud provider. The architect will be the technical partner for prospective customers, designing demos, leading PoCs, and advising on best practices for AI workloads, including training, fine-tuning, evaluating, and deploying deep learning models and LLM-powered applications. The role requires strong Python skills, experience with major cloud platforms, and the ability to solve complex technical problems. | AgentPost-train | 8 |
| Principal Solution Specialist, Infrastructure This role focuses on bringing CoreWeave's AI developer services, such as MLOps platforms and LLM observability tools, to market. It involves defining commercial and technical strategies, driving adoption with early customers, and translating field insights into product roadmap requirements. The role requires deep expertise in the ML development lifecycle, LLM application patterns, and MLOps ecosystem, with a focus on experiment tracking, model lifecycle governance, and observability. | AgentEval Gate | 8 |
| Applied AI Engineer, Inference Applied AI Engineer focused on optimizing and benchmarking the inference serving platform for AI models, working on latency, throughput, and reliability. | Serve | 8 |
| Principal Engineer - Perf and Benchmarking Principal Engineer role focused on leading the Benchmarking & Performance team at CoreWeave, a cloud provider for AI. The role involves defining strategy, leading end-to-end MLPerf submissions (Training & Inference), designing and implementing a Kubernetes-native benchmarking service for latency and throughput, and building CI/CD pipelines for scale. It requires deep expertise in distributed systems, GPU performance, model-serving stacks, and Kubernetes, with a focus on achieving industry-leading performance data and publications. | ServeEval Gate | 8 |
| Account Solutions Architect - Greenfield This role is a customer-facing technical partner for existing AI customers, focusing on deepening platform adoption, identifying expansion opportunities, and serving as a trusted advisor for scaling AI workloads in production. It involves hands-on experience with training, fine-tuning, evaluating, and deploying deep learning models and LLM-powered applications. | AgentServe | 7 |
| Senior Software and AI Engineer This role focuses on developing AI agents and first-party applications for CoreWeave's internal ecosystem, integrating with enterprise systems and using frameworks like LangChain and LangGraph. The engineer will work across the full stack, from agentic frameworks to backend services and frontend interfaces, with a strong emphasis on building production-grade AI/LLM-based applications. | Agent | 7 |
| Solutions Architect Solutions Architect for CoreWeave Federal, focusing on designing and deploying AI workloads for U.S. government agencies within regulated environments. This role requires expertise in AI/ML model deployment, agentic applications, and compliance with federal standards like FedRAMP and DoD Impact Levels. | AgentServe | 7 |
| Technical Program Manager, Inference CoreWeave is seeking a Technical Program Manager (TPM) focused on inference to join their AI/ML Platform Services team. This role will drive end-to-end program management for inference platform initiatives, including reliability, customer onboarding, launch readiness, and runtime optimization. The TPM will lead cross-functional programs to ensure the successful delivery of scalable, reliable, and high-performance inference services, working closely with engineering, product, and infrastructure teams to improve how these services are launched, onboarded, operated, and optimized. The role requires strong technical fluency in distributed inference systems, GPU compute, and cloud-native architectures, with a focus on measurable improvements in reliability, performance, and customer delivery. | Serve | 7 |
| Technical Program Manager - Performance & Benchmarking This role is for a Technical Program Manager focused on Performance & Benchmarking within an AI/ML Platform Services organization. The TPM will drive end-to-end program execution for initiatives related to infrastructure validation, performance testing, benchmark execution, and observability, ensuring CoreWeave's infrastructure is performant and stable for AI workloads. The role involves partnering with engineering, infrastructure, product, and go-to-market teams to improve workload performance, validate new environments, and create visibility into system performance. | Serve | 7 |
| Solution Specialist, AI Runtime Services This role focuses on bringing new AI runtime services, such as model serving and sandboxes, to market. It involves driving initial customer adoption, gathering feedback for the product roadmap, and enabling sales teams to position these services. The role requires deep expertise in AI runtime infrastructure, including serving frameworks, inference optimization, and execution isolation. | Serve | 7 |
| Staff Software Engineer, Cluster Orch (SUNK) Staff Software Engineer role focused on advancing CoreWeave's orchestration platform (SUNK - Slurm on Kubernetes) for AI training and inference at scale. The role involves technical leadership, architectural direction, and ensuring efficient, reliable workload execution across large GPU clusters. | Serve | 7 |
| Account Solution Architect - Financial Services Account Solutions Architect for Financial Services at CoreWeave, a cloud provider focused on AI workloads. This role involves being a technical partner to existing financial services customers, helping them deepen platform adoption, identify expansion opportunities, and scale their AI workloads in production. The role requires understanding customer needs around model development, deployment, governance, and infrastructure efficiency, and working with sales, product, and engineering teams to ensure customer success. | AgentServe | 7 |
| Account Solution Architect Account Solutions Architect for financial services customers, focusing on scaling AI/ML workloads on CoreWeave's cloud platform. Responsibilities include technical partnership, platform adoption, identifying expansion opportunities, and advising on model development, deployment, and infrastructure efficiency for AI/ML-intensive organizations. | AgentServe | 7 |
| Account Solution Architect Account Solutions Architect for financial services customers, focusing on deepening platform adoption for AI/ML workloads, identifying expansion opportunities, and serving as a trusted advisor for production AI scaling. Requires hands-on experience with training, fine-tuning, evaluating, and deploying deep learning models and LLM-powered applications. | AgentServe | 7 |
| Staff Software Engineer, Inference Staff Software Engineer on the Inference Platform Team at CoreWeave, focusing on building and operating a Kubernetes-native inference platform for AI workloads. The role involves technical leadership in architecture, performance optimization (latency, throughput, GPU utilization), and system reliability for low-latency, high-throughput systems at massive scale, with deep work in distributed systems and Kubernetes infrastructure. | Serve | 7 |
| Staff Technical Program Manager - Cluster Orchestration & Applied Training Staff Technical Program Manager to lead cross-functional programs for AI/ML Platform Services, focusing on Cluster Orchestration (scheduling, launching, managing AI workloads) and Applied Training (enabling researchers to use infrastructure for pre-training, fine-tuning, RL, evaluations). The role involves partnering with engineering, product, and research teams to improve workload execution and user interaction with training platforms, driving delivery across various AI training workflows and ensuring successful launches and operational ownership. | ServePost-train | 7 |
| Principal Engineer, Cluster Orchestration CoreWeave is seeking a Principal Engineer to lead the design and evolution of their AI infrastructure's cluster orchestration systems, including Slurm, Kubernetes, and SUNK. This role involves defining long-term architecture, solving scaling problems, and ensuring the reliability and efficiency of GPU resource utilization for AI training and inference workloads. | Serve | 7 |
| Senior Software Engineer, Observability Insights Senior Software Engineer to lead development of agentic interfaces and product experiences for AI system observability, focusing on multi-tenant APIs, Grafana, and tool servers. Requires experience in backend systems, distributed APIs, reliability engineering, and agentic applications/LLM features. | AgentServe | 7 |
| Senior Software Engineer I, Inference CoreWeave is seeking a Senior Software Engineer to own and improve their Kubernetes-native inference platform, focusing on latency, throughput, and reliability. The role involves leading design, implementing optimizations, strengthening incident posture, and mentoring junior engineers. Requires experience with distributed systems, Kubernetes, and inference internals. | Serve | 7 |
| Sr. Software Engineer - Perf and Benchmarking Senior Software Engineer focused on performance and benchmarking of AI infrastructure, including Kubernetes-native services, MLPerf runs, and model-serving stacks. The role involves building and improving services to measure latency, throughput, and cost, and ensuring reproducible benchmarking processes. | ServeEval Gate | 7 |
| Sr. Engineering Manager, Inference Senior Engineering Manager for AI/ML Platform team at CoreWeave, focusing on productizing and operating their inference offering. The role involves leading a team to ensure service reliability, observability, operational excellence, and developer experience for AI workloads. Responsibilities include roadmap execution, engineering processes, cross-functional partnerships, and building a culture of technical excellence. | Serve | 7 |
| Software Engineer, Inference AI/ML Software Engineer focused on improving the latency, reliability, and cost of model serving on a GPU platform, working with services like Triton, vLLM, and TensorRT-LLM. | Serve | 7 |
| Senior Software Engineer II, Inference Senior Software Engineer II focused on owning and optimizing CoreWeave's Kubernetes-native inference platform to meet strict P99 SLAs at scale. Responsibilities include leading design reviews, implementing advanced optimizations for latency and throughput, strengthening incident posture, and mentoring junior engineers. Requires strong experience in distributed systems, Python/Go, networked systems performance, Kubernetes, and ML inference internals. | Serve | 7 |
| Senior Systems Engineer, OS Automation Senior Systems Engineer focused on automating and scaling Linux OS and Kernel build pipelines, with a strong emphasis on integrating AI/ML technologies like LLMs, RAG, and predictive modeling to create AI-native infrastructure, smart CI/CD, auto-remediation, and predictive regression detection. | ServeAgent | 7 |