DatadogNew York, NYAs a Distinguished Architect, AI, you will be a technical multiplier for leading AI labs and AI-native companies, bridging their infrastructure aspirations with Datadog's technology roadmap. You will ensure the platform solves unique observability challenges for training and deploying foundational models at scale.
Datadog 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, Datadog 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 Datadog is: $300,000—$484,000 USD
Seeking a Principal AI/ML Researcher/Engineer to invent, scale, and operationalize intelligent decisioning systems. This role focuses on integrating Large Reasoning Models with Knowledge Graphs and applying Reinforcement Learning for adaptive planning and control in multi-agent systems.
Leads research team advancing LLM scaling, post-training, RL, and inference efficiency. Drives innovations in optimization, distributed systems, and production integration using Python/PyTorch, with deep expertise in large-scale ML.
Leads research team advancing LLM scaling, efficiency, post-training, RL, and inference optimization. Drives innovations from research to production, requiring deep ML expertise, Python/PyTorch proficiency, and leadership in large-scale experiments.
As a Principal Applied Scientist, you will define the technical direction for offer optimization and conversion modeling systems, working across teams to integrate models and optimization systems. This role involves structuring ambiguous problems, designing solutions, and providing technical oversight to ensure a coherent long-term vision.
Leads research in database systems, focusing on query optimization, storage engines, indexing, and hardware-accelerated architectures. Collaborates with engineering to productize innovations and builds a research team. Requires PhD and 12+ years experience.