ML / Research salaries

Research Engineer at Anthropic building autonomous AI systems and defensive agents to understand and counter advanced adversarial AI. Focus on agent design, evals, robotics integration, and policy-relevant demonstrations.

Research Engineer at Anthropic building agentic systems with Claude. Focus on agent harness design, benchmarking, evaluation infrastructure, and model finetuning for complex multi-step tasks.

Research Engineer on Anthropic's ML Performance and Scaling team, training production pretrained models. Work spans performance optimization, hardware debugging, experimental design, and production incident response across the full training stack.

Research Engineer at Anthropic building reinforcement learning systems for code generation on accelerators. Focus on RL environments, evaluations, and training infrastructure for safe, efficient code synthesis.

Research Engineer in Reinforcement Learning at Anthropic, building RL infrastructure and training methodologies for large language models. Focus on agentic systems, code generation, and reasoning capabilities with emphasis on both research innovation and engineering excellence.

Research Engineer at Anthropic building large language models for the pre-training team. Focus on model architecture, training infrastructure optimization, and scaling distributed systems while advancing AI safety and alignment.

Research Engineer at Anthropic building vision and spatial reasoning capabilities for Claude. Focus on multimodal model development, evaluation, and agentic infrastructure across pretraining, RL, and runtime techniques.

Machine Learning Systems Engineer on Anthropic's Reinforcement Learning Engineering team, building algorithms and infrastructure for training Claude models. Focus on improving performance, reliability, and usability of RLHF and related training systems.

Research Engineer at Anthropic's Safeguards Labs investigating novel safety methods for Claude. Scope and execute research projects on abuse detection, model safeguards, and production safety systems.

Research Engineer at Anthropic building training environments for agentic AI systems. Role blends research and engineering, focusing on reinforcement learning, environment design, and capability evaluation for long-horizon tasks.

Research Engineer at Anthropic building reinforcement learning environments to train Claude for virtual collaborator workflows. Focus on RL pipelines, data creation platforms, and evaluation systems for productivity and enterprise use cases.

Research Scientist at Anthropic's Frontier Red Team focusing on emerging societal risks from advanced AI systems. Design experiments, build evaluations, and develop defenses against risks from autonomous and integrated AI models.

Staff Research Engineer at Anthropic working on the Discovery Team to build AI systems capable of scientific reasoning and computer use. Focus on identifying bottlenecks across the full model stack, scaling research to production, and developing evaluation frameworks for scientific workflows.

Research Engineer at Anthropic building RL training environments to improve Claude's capabilities across new domains. Role combines ML research, data operations, and vendor management to scale model fine-tuning and reward design.

Research Engineer at Anthropic building pretraining infrastructure for large language models. Focus on model architecture, training optimization, and scaling distributed systems for safe AI development.

Research Engineer at Anthropic building production pretraining infrastructure for frontier language models. Focus on performance optimization, debugging, and reliability across the full training stack at scale.

Research Engineer in Reinforcement Learning at Anthropic, building RL infrastructure and training systems for large language models. Focus on agentic models, tool use, code generation, and reasoning capabilities at scale.

Research Engineer at Anthropic joining the Science of Scaling team to develop next-generation large language models. Work spans research, infrastructure optimization, and tooling across the full ML stack.

Research Engineer/Scientist at Anthropic's Pre-training team in Zürich, developing next-generation large language models with focus on multimodal capabilities. Work spans model architecture, algorithms, training infrastructure optimization, and safety-focused AI systems.

Principal Machine Learning Engineer at Pinterest building backend systems and statistical models for the Ads Delivery marketplace. Focus on auction mechanisms, ad allocation, and marketplace dynamics to maximize value for users, advertisers, and the platform.

Research Engineer on Anthropic's Post-Training team implementing and scaling Constitutional AI, RLHF, and alignment techniques for production Claude models. Work spans research and production engineering to improve model quality, safety, and capabilities.

Senior Research Scientist at Anthropic leading research on reward models and RLHF for large language models. Focus on novel architectures, LLM-based evaluation methods, and mitigating reward hacking to improve model alignment and safety.

Research Scientist/Engineer at Anthropic focused on honesty and alignment. Develop techniques to minimize hallucinations, enhance truthfulness in language models, and create evaluation frameworks for model accuracy and calibration.

Research Engineer/Scientist on Anthropic's Audio team building speech and audio models. Work spans audio codecs, speech-to-text, text-to-speech, and diffusion models integrated with large language models.

Research Engineer at Anthropic building large-scale ML systems for language models. Work spans infrastructure optimization, distributed training, scientific experiments, and developer tooling across GPU clusters and Kubernetes environments.