Find your next AI-scored role.

Principal AI/ML Researcher and Engineer at Airbnb leading research and development of Bayesian learning systems, distributional reinforcement learning, and foundational models. Role involves architecting large-scale probabilistic AI systems, integrating LLMs with reasoning frameworks, and deploying production systems impacting personalization and ranking.

Senior ML Engineer II at Instacart leading research and development of pCTR and conversion prediction models for the ads ecosystem. Focus on debiasing techniques, multi-task learning architectures, and generative retrieval systems.

Director of AI Engineering & Research at Anduril Industries leading machine learning teams building agentic and perception systems for defense applications. Owns technical roadmap for embedded warfighting AI, ML infrastructure, and safety-critical deployments.

Head of AI and Machine Learning Engineering at Gusto, leading teams across ML engineering, ML platform, risk data science, and AI research. Responsible for defining AI/ML strategy, building production systems, and scaling platform capabilities across payroll and HR products.

Technical Lead Manager for Physical AI at Scale AI, leading a team of research engineers on foundation models for robotics and autonomous vehicles. Role combines hands-on ML research (60%) with team leadership, focusing on VLAs, world models, and large-scale data pipelines.

Research Scientist at Scale AI designing evaluation harnesses and datasets to measure risks from frontier AI systems. Focus on agent robustness, AI control protocols, and safety evaluations for policymakers and industry.

ML Systems Engineer at Scale AI building fault-tolerant, high-performance serving platforms for robotics and foundation models. Focus on GPU optimization, Kubernetes orchestration, and bridging research-to-production for autonomous vehicles and robotics applications.

Machine Learning Research Engineer at Scale AI building multi-agent systems for agentic LLM validation and reliability. Focus on applied ML engineering, data infrastructure, and shipping production fixes for frontier agent research.

Senior ML engineer at Tenstorrent optimizing state-of-the-art AI models for custom hardware accelerators. Focus on model optimization, performance tuning, and bringing research to production on novel AI devices.

Engineering Manager at Anthropic leading the Research Tools team, which builds distributed finetuning infrastructure and productivity systems for researchers. Manages ML and distributed systems engineers, prioritizes work across research and product teams, and oversees recruiting and team operations.

Anthropic Fellows Program in ML Systems & Performance. Four-month full-time research fellowship with mentorship from Anthropic researchers, focusing on empirical projects in ML systems, performance optimization, and infrastructure. Weekly stipend of $3,850 USD plus compute funding.

Research Engineer at Anthropic building data infrastructure for economic research on AI's impact. Designs pipelines, systems, and APIs to support research on AI adoption, labor market effects, and economic outcomes.

Manager leading Discord's Scaled Abuse Countermeasures and Research team, overseeing fraud detection and incident response. Focus on building ML/AI-powered automation to replace manual workflows and partnering with Safety ML on scaled abuse prevention.

Senior Machine Learning Scientist at Intercom's Fin AI customer agent division. Identify ML opportunities, research algorithms, and ship production models for customer support automation. Work across product, design, and engineering teams.

Staff Machine Learning Scientist at Intercom building ML features for Fin, an AI customer support agent. Responsibilities include research, algorithm selection, offline evaluation, and bringing prototypes to production while mentoring engineers.

Senior Machine Learning Scientist at Intercom's Fin AI customer agent platform. Identify ML opportunities, research algorithms, and ship production models that improve customer support outcomes. Work cross-functionally with product and engineering teams.

Staff Machine Learning Scientist at Intercom's Fin AI customer agent platform. Leads ML research and productization of algorithms for customer support automation, mentors engineers, and ships models to production.

Senior Machine Learning Scientist at Intercom's Fin AI customer agent platform. Identify ML opportunities, research algorithms, and ship production models that improve customer support outcomes. Work cross-functionally with product and engineering teams.

Senior Research Engineer at Databricks optimizing GPU kernels and distributed training for large language models. Focus on CUDA kernel design, performance tuning, and scaling techniques for ML training workloads.

Staff ML Research Scientist at Scale AI leading development of novel LLM evaluation methodologies, benchmarks, and metrics. Focus on designing evaluation protocols, publishing research, and mentoring research teams.

Senior/Staff ML Research Scientist at Scale AI focusing on agent capabilities and environments. Research on LLM agents, RL reward signals, and benchmarking autonomous agent performance across real-world scenarios.

ML Research Engineer at Scale AI building RLXF, an internal distributed framework for LLM training and inference. Focus on system optimization, multi-node training, and enabling ML research teams.

Manager, Machine Learning Research Scientist at Scale AI leading a research team on generative AI, post-training, evaluation, and agentic systems. Requires 5+ years of ML research experience and track record of publications in top-tier venues.

AI Strategy Consultant at Scale AI designing and executing research experiments, building frontier LLM datasets, and improving data quality for AI systems. Remote, part-time contract role requiring ML expertise and Python/AWS/SQL skills.

Senior Engineering Manager at Robinhood leading AI R&D teams building personalization and risk models for a financial platform. Oversees applied ML systems, foundation models, and transformer architectures serving millions of users.