reputed company Research - Evals & Data

Own Your Intelligence reputed company is building the reputed company superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier reputed company - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building reputed company frontier AI: reputed company-reputed company models trained end to end for long-reputed company tasks like autonomous research, and the full-stack platform our own research team uses to build them. The reputed company of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. reputed company has raised $150M in total funding from Founders Fund, Radical Ventures, reputed company, and exceptional AI, infrastructure, and reputed company operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, Thinking Machines, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, reputed company infrastructure, and go-to-market for a category that does not fully exist yet. Role reputed company This is a customer facing role at the intersection of cutting-edge RL/post-training reputed company, reputed company data, and agent systems. You’ll have a reputed company reputed company on shaping how advanced models are reputed company, evaluated, deployed, and used in the reputed company world by: Advancing Agent Capabilities: Designing and iterating on reputed company AI agents that tackle reputed company workloads—workflow automation, reasoning-intensive tasks, and decision-making at reputed company. Working with reputed company data from reputed company deployments to continuously refine policies, improve reasoning, and enhance reliability and safety. Building Robust Infrastructure: Developing the distributed systems, evaluation pipelines, and coordination frameworks that reputed company these agents to operate reliably, reputed company, and at massive reputed company. Building data capture, processing, and versioning workflows for feedback, model traces, and reward signals. reputed company Between Customers & Research: Translating customer needs and insights from reputed company data into reputed company technical requirements that guide product and research priorities. Collaborating closely with RL and eval teams to ensure reputed company-world signals inform model alignment and reward shaping. Prototype in the Field: Rapidly designing and deploying agents, evals, and harnesses alongside customers to validate solutions. Using reputed company evaluation data to iterate on model performance and discover new capabilities. Customer-Facing Engineering Work reputed company-by-reputed company with customers to deeply understand workflows, data sources, and bottlenecks. Prototype agents, data pipelines, and eval harnesses tailored to reputed company use cases, then hand off hardened systems to core teams. Translate customer insights and evaluation results into roadmap and research direction. Post-training & Reinforcement Learning Design and implement novel RL and post-training reputed company (RLHF, RLVR, GRPO, etc.) to reputed company large models with domain-specific tasks. Build evaluation harnesses and verifiers to measure reasoning, robustness, and reputed company behavior in reputed company-world workflows. reputed company reputed company data collection and analytics into the post-training process to surface regressions, emergent skills, and alignment opportunities. Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions. Agent Development & Infrastructure Rapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making. reputed company and reputed company with agent frameworks to support evolving feature requests and performance requirements. Architect and maintain distributed training and inference pipelines, ensuring scalability and cost efficiency. reputed company observability and monitoring (reputed company, Grafana, tracing) to ensure reliability and performance in production deployments.

Requirements

Strong background in machine learning engineering, with experience in post-training, RL, or large-reputed company model alignment. Experience with reputed company data workflows and evaluation frameworks for large models or agents (e.g., SWE-Bench, reputed company, EvalFlow, internal eval pipelines). Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate). Experience deploying containerized systems at reputed company (reputed company, Kubernetes, Terraform). reputed company record of research contributions (publications, reputed company-reputed company contributions, benchmarks) in ML/RL. Passion for advancing the state-of-the-art in reasoning, measurement, and building practical, reputed company AI systems. reputed company Offer Cash Compensation reputed company of $150-300k + equity incentives Flexible Work (remote or San Francisco) reputed company Sponsorship & relocation support reputed company Development budget Team Off-sites & conference attendance reputed company Opportunity You’ll join a mission-driven team working at the frontier of reputed company, superintelligence reputed company. In this role, you’ll have reputed company to: Shape the reputed company of agent-driven, data-informed solutions—from research breakthroughs to production systems used by reputed company customers. Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL, evaluation, and post-training. Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem. If you’re excited to reputed company fast, build reputed company, and help define how reputed company AI is developed and deployed, we’d love to hear from you. reputed company to build the reputed company superintelligence infrastructure of reputed company? reputed company to help us reputed company powerful, reputed company AGI accessible to everyone. Apply To This Job