Top AI & Machine Learning Jobs

Conduct and lead research into AI vulnerabilities and defenses while collaborating with teams to develop operational capabilities and strategies. Mentorship and guidance are fundamental. The role focuses on emerging technologies and securing AI systems.

The AI/ML Quantitative Research Manager leads research efforts in quantitative strategies, develops AI/ML models for trading signals, and collaborates with internal teams to enhance trading systems.

Lead definition and execution of a multi-year AI roadmap for Research. Prioritize high-value AI use cases, manage end-to-end delivery, build scalable cloud AI and MLOps solutions, drive adoption and change, and establish responsible AI governance, compliance, and model transparency.

Lead AI safety research for biological models: design and run safety evaluations, build robust safeguards against misuse, monitor capability advances, partner with internal and external experts, and shape safety policy and communications.

The job involves developing machine learning algorithms, designing data pipelines, utilizing cloud infrastructure for ML solutions, and ensuring model governance practices.

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

Founding research hire to develop clinical reasoning and computer-use models using proprietary hospital and clinic data. Own end-to-end training and evaluation pipelines, design benchmarks exposing LLM weaknesses on clinical reasoning, run experiments, and publish technical reports and papers. Collaborate closely with founders and deploy research into products that improve physician workflows.

Work with proprietary clinical data to design, train, and evaluate clinical reasoning and computer-use models. Own end-to-end training and evaluation pipelines, publish benchmarks and papers, and take open-ended research problems to working models.

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

We seek an AI Research Scientist/Engineer to apply AI techniques in healthcare, focusing on biological simulations and data analysis for NIH-funded projects.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

Lead research and development of novel ML and deep learning algorithms from data and architecture design through evaluation and transition to production. Prototype research ideas, run benchmarking experiments, build reproducible research tooling, and communicate findings to leadership.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

The AI Research Scientist III will prototype AI/ML solutions, advance drug design campaigns, mentor junior researchers, and publish scientific papers.

The Staff AI Research Engineer will architect AI systems, optimize retrieval methods, collaborate across teams, and innovate AI solutions for sales efficiency.

The Transformative AI Research Economist will develop macroeconomic models and forecasting tools to assess the impact of AI on economic scenarios, leveraging unique data from the Anthropic Economic Index to ground projections in observable trends.

The job involves leading AI research and engineering projects, developing large-scale models, collaborating with teams, and contributing to groundbreaking AI applications.

Develop algorithms in machine learning and statistics to address complex challenges. Design data pipelines and deploy solutions using cloud infrastructure.

Design and ship production-ready machine learning systems by bridging applied research and engineering. Responsibilities include model training, fine-tuning, evaluation at scale, distributed and mixed-precision training, deployment with observability and safeguards, and adapting current research for high-impact production use.

The AI Research Engineer designs and optimizes AI systems for enterprise automation, collaborating across teams to improve efficiency and decision-making.

The AI Engineer/Research Scientist will develop explainability and contestability features for AI systems, ensuring outputs are understandable, reliable, and continually improved based on user feedback and evaluations.

Lead a research team focused on enhancing large-scale machine learning models' efficiency and performance, developing novel algorithms and collaborating with engineering teams to implement breakthroughs.