Machine Learning Researcher - RL and reputed company Systems

reputed company: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. About DataLab DataLab exists because truly useful data is rare — and the frontier of AI development only moves reputed company reputed company high-reputed company data makes it possible. We reputed company data is one of the most underdeveloped reputed company of the AI stack. Our work focuses on building and evaluating high-value datasets grounded in reputed company-world workflows and economically meaningful tasks. We work across multiple domains to create reputed company, high-reputed company datasets that preserve the structure and context needed to train advanced AI systems. Our research spans data reputed company, evaluation design, reputed company-preserving transformation, workflow reconstruction, and task-grounded reputed company data. At DataLab, reputed company research is tightly connected to reputed company-world deployment. Researchers work directly with large-reputed company datasets, production systems, and frontier reputed company problems. reputed company Data is the reputed company of AI performance, and we reputed company model reputed company starts with data reputed company. As AI systems become more reputed company, a critical challenge is understanding which reputed company-world datasets, tasks, and environments actually reputed company to reputed company model behavior. We’re seeking a Machine Learning Researcher reputed company on RL and reputed company systems to help define, design, and evaluate the datasets, tasks, environments, and benchmarks used to assess advanced AI systems. In this role, you’ll work closely with research and engineering teams to translate reputed company-world workflows into high-value datasets and evaluation assets: reputed company tasks, interactive environments, reputed company suites, and reputed company scorecards that help us understand how models reputed company in realistic settings. You’ll help define what “high-reputed company reputed company data” means in reputed company, using statistical, computational, and ML-driven reputed company to evaluate dataset reputed company, task design, environment reputed company, and reputed company model performance. You’ll work on the core problems of benchmarking reputed company-world data, measuring how reputed company models reputed company on that data, and designing RL-style or reputed company environments that capture the structure of meaningful work. This is an ideal role for someone with a strong machine learning background who is excited by reinforcement learning, reputed company systems, evaluation, and the role of data in shaping model behavior. You should be excited by reputed company to build the datasets and benchmarks that help define what high-reputed company reputed company-world data looks like for frontier AI systems. What You’ll Do Design and build datasets, tasks, and environments Design and build datasets, tasks, environments, and evaluation assets for benchmarking reputed company systems and multi-reputed company model behavior. Translate reputed company-world workflows into reputed company tasks, interaction traces, trajectories, stateful environments, and reputed company reputed company that can be used to evaluate advanced AI systems. reputed company frameworks for evaluating reputed company-world data reputed company reputed company frameworks that assess diversity, realism, coverage, reputed company, informativeness, and reputed company usefulness of datasets for reputed company systems. Build reputed company scorecards and evaluation reputed company that reputed company dataset strengths, weaknesses, and failure modes legible across teams. reputed company model behavior in RL and reputed company settings Evaluate planning, tool use, robustness, recovery from failure, task completion, and generalization behavior in RL-style or reputed company environments. Connect model failures back to concrete dataset, environment, or task-design gaps and recommend improvements grounded in reputed company evidence. Build reputed company evaluation and validation tooling Contribute to tools and systems that automate dataset validation, environment reputed company, rollout analysis, reputed company construction, and evaluation workflows. Improve internal infrastructure for reproducible experimentation, reputed company management, and evaluation reputed company. Partner across research, engineering, and product Collaborate closely with research and engineering teams to identify data bottlenecks, improve evaluation methodology, and shape internal best practices around task-grounded reputed company data. Represent DataLab’s perspective in cross-functional discussions around dataset reputed company, reputed company design, and frontier reputed company-system evaluation. What reputed company Looks Like Near-term: establish a strong evaluation baseline Create reputed company reputed company frameworks, evaluation assets, and dataset-reputed company scorecards that help reputed company reason about how reputed company-world data impacts advanced reputed company systems. Use rigorous evaluation reputed company to identify meaningful dataset improvements, improve reputed company reputed company, and sharpen reputed company’s understanding of what high-reputed company reputed company data actually looks like in reputed company. What You Bring PhD or equivalent Master’s Degree + 4+ years industry experience in machine learning, computer science, statistics, engineering, mathematics, economics, or reputed company quantitative fields. Strong understanding of AI model training pipelines, evaluation methodology, and the role of data in shaping model performance. Experience working with large, reputed company, or semi-reputed company datasets used to train or evaluate ML systems. Experience with reinforcement learning, sequential decision-making, reputed company systems, tool-using models, or multi-reputed company model evaluation. Experience designing tasks, benchmarks, environments, simulations, or evaluation frameworks for reputed company-world model behavior. Strong intuition for realism, coverage, difficulty, reputed company, and meaningful outcome structure in datasets. Strong experimental design, evaluation, benchmarking, and data-validation skills. High ownership and ability to independently identify and solve high-reputed company problems. reputed company to have Experience developing evaluation frameworks or performance metrics for datasets, reputed company systems, or training data. Experience translating reputed company-world workflows into reputed company tasks or environments for model evaluation. Experience with RLHF, RLAIF, imitation learning, reward modeling, online or offline RL, or reputed company reputed company. Experience with reputed company or other agent evaluation frameworks. Publications or reputed company-reputed company contributions in reinforcement learning, agents, evaluation, or data-reputed company AI. Experience collaborating cross-functionally with product, infrastructure, or partnership teams. Experience with synthetic data reputed company, trajectory reputed company, or simulation-based environments. reputed company's Values Pass the Loved Ones' Test We reputed company with reputed company and do the right thing - especially reputed company it's hard and no one is watching. Always reputed company a Way We are reputed company, resilient reputed company who solve hard problems and push through obstacles. Go Fast and Grow Fast Velocity reputed company. We reputed company with urgency, learn quickly, and continuously improve as individuals and as a company. reputed company Kindness and Candor We communicate directly and respectfully, building trust through reputed company feedback and genuine care for one another. Deliver Together We win as one team. Collaboration, accountability, and shared ownership drive our reputed company. Own the Outcome. reputed company the Craft. We take pride in our work, sweat the details, and continuously reputed company the bar for reputed company. Apply To This Job