Find your next AI-scored role.

Software engineer internship at Palantir in New York. Build software for data-driven platforms (Gotham, Foundry, Apollo) or work as a forward-deployed engineer embedded with customers solving critical problems.

Forward Deployed Software Engineer internship at Palantir, embedded with USG customers to build AI-powered solutions and data platforms. Hands-on role with real-world impact on critical infrastructure and operations.

Forward Deployed Software Engineer internship at Palantir in New York. Build AI-powered solutions for customers, working on data platforms and real-world problems across critical industries.

Senior Staff Software Engineer at Crusoe building managed platforms for AI model lifecycle. Focus on fine-tuning systems, training pipelines, reinforcement learning, and dataset management for large language models at scale.

Generative AI Inference Engineer at Stability AI building multi-modal ML inference systems. Focus on optimization, deployment, and productionization of diffusion models at scale using PyTorch, Triton, and cloud infrastructure.

Senior Software Engineer at Crusoe building managed platforms for AI model lifecycle, including fine-tuning systems, training pipelines, and reinforcement learning infrastructure for large language models.

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.

Senior Research Data Scientist at Abridge building data infrastructure and conducting rigorous empirical analyses of AI-powered clinical documentation. Focus on metrics development, causal inference, and translating complex healthcare data insights into product decisions.

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.

Staff Software Engineer at Crusoe building managed platforms for AI model lifecycle. Focus on fine-tuning systems, training pipelines, reinforcement learning, and dataset management for large language models at scale.

Staff ML Systems Engineer at Reddit building infrastructure for large-scale ML models. Focus on MLOps platforms, distributed training optimization, and graph ML systems serving recommendations and content discovery.

Senior ML Systems Engineer at Reddit building infrastructure for large-scale ML models. Focus on MLOps platforms, distributed training optimization, and graph ML systems serving recommendation and content discovery.

Principal Data Scientist at Reddit leading the strategic design and evolution of the Ads Data Science platform. Responsible for foundational models, causal inference, and marketplace optimization to improve advertiser ROI and platform revenue.

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.

AI Researcher, Core ML at Together AI building efficient inference and RL/post-training systems. Role spans algorithms, inference engines (SGLang, vLLM), and production-scale RL pipelines to optimize model speed, cost, and capabilities.

Data Engineer at Baseten building internal data platforms and analytics infrastructure for an AI inference company. Design data models, pipelines, and metrics to support product, engineering, and business teams.

AI Operations Specialist at Ramp building internal AI workflows and enabling teams to deploy agentic tools at scale. Role spans product ops, enablement, and infrastructure to accelerate AI adoption across the finance automation platform.

Software engineer at Anyscale building Ray Core, a distributed computing backend. Focus on performance optimization, fault tolerance, and reliability of the C++ scheduler and runtime systems.