12 total jobs
7 new jobs this week
Research browser behavior and develop device-identification and bot-detection techniques, taking findings from experiments through engineering implementation to improve the accuracy and stability of core products.
Build and scale distributed reinforcement learning post-training systems, connecting training, inference rollouts, agentic environments, and reward infrastructure to run reliably across large GPU clusters.
Optimize multimodal transformer performance by profiling GPU, CPU, and accelerator workloads, developing high-performance kernels, and improving training and inference efficiency for distributed production deployment.
Build and optimize distributed systems for training multimodal foundation models across thousands of GPUs, advancing parallelism, training stability, monitoring, and cluster utilization.
Research Engineer applying frontier machine-learning researchโincluding reinforcement learning, RLHF and LLM post-trainingโto build and ship capabilities for mission-critical AI platforms.
Build and scale production AI systems that turn fragmented public records and geospatial data into actionable real estate insights, combining research, agentic pipelines, machine learning, and production engineering.
Coordinate responses to major security events, research emerging vulnerabilities, and publish technical advisories while using data analysis and operational frameworks to guide research and product prioritization.
Develop and extend algorithms for large-scale unsupervised learning and perception, build tools for deep learning experiments, and collaborate with software and autonomous vehicle engineers to deploy models on vehicle platforms.
Develop and improve AI models for unsupervised learning and perception, build tools for deep learning experiments, and collaborate with software and autonomous vehicle engineers to deploy algorithms on vehicle platforms.
Research and engineer multimodal conversational models for real-time avatars, developing low-latency methods to shape verbal and non-verbal behavior and bringing research prototypes into production.
Conduct research and hands-on experiments on attention-based foundation models, including distributed training, architecture improvements, and designing new tasks and benchmarks to advance the project.
Design information architectures for LLMs, train models to use them, build challenging knowledge-base evaluations, and develop advanced agentic search capabilities.
