СШАStaff Research Scientist - Post-Training for Agents
1 нед. назад
320k–400k USD / годСШАLead
reinforcement learningmodel developmentsynthetic data generationsimulationevaluation methods
Drive research in post-training and autonomous agents, advancing reinforcement learning and synthetic data generation for real-world systems, as a Staff Research Scientist at .
О компании
- (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Learning Center.
- is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Learning Center.
Обязанности
- Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security
- Own research problems end to end, from framing the question through experimentation, model development, and evaluation
- Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments
- Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement
- Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor
- Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable capabilities
- Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks
Требования
- You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling
- You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting
- You have extensive hands-on experience designing and implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks
- You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements
- You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you
- You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences
- Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with .
Условия
- offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
- The reasonably estimated yearly salary for this role at is:
- $320,000 — $400,000 USD
Другое
- As a Staff Research Scientist within AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with 's product and engineering teams to translate research advances into products.
- Any information you submit to as part of your application will be processed in accordance with ’s Applicant and Candidate Privacy Notice.
- Any information you submit to as part of your application will be processed in accordance with ’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at AI Guidelines .