47 total jobs
5 new jobs this week
Build and own large-scale data infrastructure for frontier AI models, including pipelines, data curation methods, and tools that help researchers process datasets and measure their impact on model performance.
Research Engineer, Post-Training improves voice AI models by turning customer problems into measurable targets, designing evaluations, curating data, fine-tuning models, and shipping production-ready systems.
Develop experimental experiences that make emerging AI video, world models, and agentic systems tangible through original concepts, working prototypes, and polished demonstrations.
Drive innovation in model compression and efficient deployment for advanced multimodal AI systems, focusing on reducing model footprint while preserving accuracy.
As a Research Engineer, you will shape audio AI models for products used by millions, focusing on training, improving, and evaluating state-of-the-art models.
As an Applied Research Engineer, you'll develop AI research assets, focusing on building practical solutions and collaborating with cross-functional teams to enhance customer engagements.
Drive innovation in model serving and inference architectures for advanced AI systems, optimizing deployment strategies for high responsiveness and efficiency.
Design and stress-test software-only protocols for verifying AI datacenter compute and memory use, combining GPU performance measurement with adversarial analysis to determine whether clusters can meet defensible accounting claims.
Research Engineer / Scientist developing and testing hardware-backed verification for AI datacenters, including accelerator attestation, public verification registries, secure evaluation pipelines, and adversarial testing.
Lead research and engineering on zero-knowledge proofs for AI inference, reducing proving costs and building systems that can verify frontier-model computation while protecting model weights.
The Clinical Research Engineer will gain in-depth knowledge of FDA approved and investigational products, support training, and serve as a resource for clinical studies and protocols.
As an Abuse Research Engineer, you will proactively hunt for advanced threats and dissect complex fraud vectors to safeguard Stripe's financial ecosystem.
Build and operate large-scale web crawling systems that source, extract, and prepare high-quality data from the open web for frontier AI models, while enabling researchers to explore crawled data.
Deploy and optimize frontier AI models for real-time production use, owning the path from research checkpoints to reliable serving systems and improving latency, throughput, and cost at scale.
Develop and scale machine learning systems for speech recognition and synthesis, partnering with research scientists to test modeling ideas and accelerate training through efficient data pipelines, infrastructure, and tools.
Build practical prototypes for AI verification, exploring robust, privacy-preserving and auditable mechanisms across ML engineering, cybersecurity, cryptography, hardware and systems.
Drive innovation in AI model architecture development, focusing on Large Language Models and Multi-Modal systems to enhance intelligence and efficiency.
Drive innovation in training and optimizing vision-language models, focusing on real-world deployment and enhancing model quality and efficiency.
Drive innovation in training and optimizing vision-language models, focusing on real-world deployment and enhancing model quality and efficiency.
Drive innovation in training and optimizing vision-language models, focusing on real-world deployment and enhancing model quality and efficiency.
Drive innovation in training and optimizing vision-language models, focusing on real-world deployment and spanning the full model development lifecycle.
Drive innovation in AI model architecture development, focusing on Large Language Models and Multi-Modal systems to enhance intelligence and efficiency.
Drive innovation in AI architecture development by enhancing Large Language Models and Multi-Modal systems through cutting-edge techniques and optimization strategies.
Drive innovation in AI model architecture development, focusing on large-scale pre-training for LLMs and multi-modal systems to enhance intelligence and efficiency.
