Find your next AI-scored role.

Staff Software Engineer at Crusoe building diagnostics, observability, and automation tooling for GPU fleet management and data center infrastructure. Focus on hardware fault detection, AI agents for remediation, and operational support for high-performance compute clusters.

Software Engineer intern at Sierra building production AI agents. Work on agent design, development, and deployment for customer-facing systems at scale.

Full-stack product engineer at Hightouch building AI-powered marketing interfaces. Focus on React/TypeScript frontend and backend API design for agentic marketing workflows.

Senior Research Data Scientist at Abridge building data infrastructure and conducting empirical analyses for healthcare AI research. Focus on metrics development, causal inference, and translating complex analyses into clinical insights.

Senior Backend Engineer at Together AI building distributed GPU scheduling and cloud infrastructure for the AI Acceleration Cloud platform. Focus on large-scale, fault-tolerant systems serving inference, fine-tuning, and managed Kubernetes clusters across global data centers.

Senior Backend Engineer at Together AI building the inference platform for serving large-scale LLMs and multimodal models. Focus on global request routing, auto-scaling, load balancing, and optimization across thousands of GPUs.

Senior Software Engineer at Together AI building cloud infrastructure for AI acceleration. Focus on high-performance backend services, Kubernetes operators, GPU virtualization, and globally distributed systems across data centers.

Senior AI Infrastructure Engineer at Together AI building the AI Acceleration Cloud platform. Focus on designing and operating high-performance, globally distributed backend services for GPU/ML hardware virtualization, Kubernetes orchestration, and multi-exabyte object storage across dozens of data centers.

Staff Software Engineer at Crusoe building managed ML platform for model lifecycle. Focus on fine-tuning systems, training pipelines, and reinforcement learning infrastructure for large language models.

Developer Infrastructure Engineer at Gusto building AI-powered developer tooling, CI/CD pipelines, and infrastructure systems for the Retirement engineering team. Focus on shipping production improvements and multiplying team velocity through automation and platform reliability.

Research Scientist at Stability AI focused on 3D generation using flow-matching and diffusion models. Conduct research on controllable 3D content creation, design training pipelines, and develop conditioning techniques for meshes, Gaussians, and NeRFs.

Staff ML Systems Engineer at Reddit building infrastructure for large-scale ML models. Focus on MLOps, graph ML platforms, distributed training optimization, and batch data processing at scale.

Senior ML Systems Engineer at Reddit building infrastructure for large-scale ML models. Focus on MLOps, graph ML platforms, distributed training optimization, and batch data processing at scale.

Principal Data Scientist at Reddit leading the strategic design and evolution of the Ads Data Science platform. Focus on statistical modeling, causal inference, and marketplace optimization to improve advertiser ROI and platform revenue.

Staff Machine Learning Engineer at Reddit building ads marketplace auction and pricing algorithms. Focus on optimizing marketplace efficiency, developing end-to-end ML workflows, and providing technical leadership on a three-sided marketplace platform.

Data Scientist at Reddit's Ads team building machine learning models to optimize advertising platform performance. Focus on targeting, relevance modeling, auction optimization, and measurement through experimentation and statistical methods.

Data Scientist at Reddit's Ads team building machine learning models to optimize advertising platform performance. Focus on anomaly detection, prediction, and causal inference across large-scale datasets.

Research Engineer at Together AI building speculative decoding algorithms for production LLM inference. Focus on data curation, hyperparameter tuning, and model optimization for customer-specific deployments on GPU clusters.

Research Engineer, Core ML at Together AI building production inference and RL/post-training systems. Focus on efficient inference algorithms, speculative decoding, and scaling RL pipelines to optimize latency, throughput, and model quality.

Machine Learning Platform Engineer at Together AI building container orchestration and inference optimization infrastructure. Focus on multi-cluster scheduling, autoscaling, model bring-up, and developer tooling for custom models and dedicated inference.

Machine Learning Engineer at Together AI building the inference engine for large language models. Focus on optimizing runtime services, performance at scale, and high-performance systems using PyTorch and low-level systems concepts.

ML Engineer at Together AI building production inference and fine-tuning systems for LLMs. Focus on high-performance runtime systems, distributed infrastructure, and API reliability at scale.

LLM inference frameworks and optimization engineer at Together AI building distributed inference engines for large language models. Focus on GPU optimization, tensor parallelism, and software-hardware co-design for scalable model serving.

Engineering Manager at Together AI leading production ML inference and fine-tuning operations. Focus on SLA ownership, multi-cluster Kubernetes orchestration, and building automation tooling for LLM serving at scale.

Backend engineer at Together AI building data platform infrastructure and LLM-adjacent services. Responsible for event streams, APIs, and self-serve data products handling millions of events daily.