AI Research Engineer Jobs

Snorkel AI

Snorkel AI is seeking Forward Deployed Researchers to partner with frontier AI labs on challenging data problems. This customer-facing role requires deep technical and research expertise to help design complex data and environments that enhance frontier model performance. You will act as a thought partner, working at the intersection of research, technical strategy, and customer collaboration. Your responsibilities will include scoping training data needs, designing RL environments, developing evaluation frameworks, analyzing model behavior, and translating customer objectives into technical plans.

$160k - $400k

HackerRank is reinventing the hiring process for the agentic era, where AI systems are not just features but the core product. This role focuses on building the AI/ML systems that power the platform, tackling complex, unsolved problems in areas like autonomous AI interviewing, fraud detection, and skill evaluation in the age of AI-generated code. You will work across these critical areas, with your focus shifting to where the highest-leverage work is needed at any given time. This is an opportunity to contribute to a fast-paced environment with intellectual freedom and ownership, turning novel AI research into efficient, scalable, real-world systems.

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Explore a research career at Graphcore through a PhD internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice, and help shape what we’re creating. You’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. You will explore how your research could inform the next generation of AI compute, working alongside researchers tackling questions shaped by real-world hardware and software challenges. Our team is interested in numerous topics across the field, working on problems where algorithms, hardware, and systems meet.

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Salesforce AI Research Labs is at the forefront of Generative AI, Natural Language Processing (NLP), and Deep Learning, with a history of pioneering advancements like Einstein GPT, CodeGen, and Moirai. This role is not traditional research; you will act like a founder, identifying high-impact research directions, prototyping cutting-edge AI capabilities, validating ideas with customers, and turning the strongest concepts into production-ready solutions. You'll have the freedom to incubate new ideas, access Salesforce's global customer and product ecosystem, and quickly validate innovations. We seek individuals comfortable with ambiguity, moving with urgency, and caring about customer adoption as much as technical innovation, offering the pace of a startup with the reach of Salesforce.

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NVIDIA is seeking a PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI. This research will explore new model architectures, training objectives, and efficient training and inference for multimodal generation and action-conditioned prediction, with a focus on physical plausibility, spatial and temporal consistency, and the modeling of human appearance, motion, and interactions. The intern will collaborate with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation, with projects tailored to team priorities and the intern's research strengths.

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Graphcore is building the future of AI compute, from silicon and software to datacenter-scale infrastructure. As a Research Engineer, you will contribute to advancing AI research by investigating new ideas and pushing the limits on important AI/ML problems. This role combines strong machine learning experience with practical engineering skills to deliver impactful AI research, focusing on hardware-aware AI algorithms and AI-aware hardware developments. You will work closely with researchers to generate ideas, translate them into scalable implementations, and contribute to publications and projects that steer the future of AI hardware.

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OpenAI

The Human Flourishing team is dedicated to ensuring AI systems understand and advance human flourishing, aligning AI capabilities with human values and long-term goals. This role involves measuring and improving models' understanding of human values, supporting user agency, and helping users achieve their long-term objectives. The team also focuses on scaling tangible impact in domains like education and mental health, working across research, product, and partnerships to benefit a large user base. Recent work includes Beneficial RL and the MentalHealthBench benchmark.

$380k - $500k

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Senior Research Scientist to join this dynamic team and contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$126k - $248k

Anthropic

Anthropic is seeking individuals for a paid, fixed-term research residency program, lasting between six weeks and six months. This program is designed for experienced professionals, such as professors in quantitative disciplines, technical founders, or staff-level engineers, who are looking to transition into full-time work focused on ensuring AI systems are safe and beneficial for humanity. While a background in machine learning is not strictly required, candidates should be motivated by AI safety and excited about empirical AI research. The residency offers a scoped project with direct mentorship from Anthropic researchers, access to Claude models and GPU compute, and connections to the AI safety and security research community.

$350k - $500k

As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.

$180k - $440k

Raindrop

Raindrop is seeking a founding Research Engineer to investigate the behavior of AI agents in production environments. This role is crucial for an early-stage team, involving setting the research direction, conducting experiments, and disseminating findings through publications. The focus will be on understanding agent failures, advancing simulation techniques, developing novel detection methods for undefined issues, and exploring high-impact open questions in AI agent behavior. The ideal candidate will possess strong communication skills, a passion for sharing research, deep expertise in areas like interpretability or AI safety, and the ability to prototype and ship experiments.

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Salesforce is seeking a Senior / Lead Member of Technical Staff to join their AI Research team. This role involves innovating at the frontier of AI, creating new solutions, and defining new product categories with significant impact. You will work closely with software engineers, product managers, and solution engineers to design, implement, and iterate on agentic AI systems. The ideal candidate will possess exceptional engineering skills, deep ML knowledge, strategic thinking, and a dedication to building exceptional product experiences in a fast-paced environment.

$197k - $314k

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for accurate and efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Staff Research Scientist to contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$151k - $297k

Trajectory Labs is seeking researchers to design evaluations for conceptual reasoning in AI safety, focusing on complex, open-ended problems in AI governance, alignment, macrostrategy, and economics. These evaluations will be paired with rubrics to distinguish genuine reasoning from superficial responses. The role involves working 20-40+ hours per week, either remotely or on-site in Berkeley. As an early-stage startup, responsibilities and priorities may evolve rapidly. The company's mission is to automate AI safety work through AI models, building safety and alignment evaluations, red-teaming programs, and RL environments for leading AI labs.

$0k - $0k

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Salary not listed

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

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We are building AI that changes how people capture, understand, and act on conversations and meetings. As Director of AI Research, you will lead research and development across automatic speech recognition (ASR), speaker identification (SID), large language models (LLMs), and audio language models. Your work will shape our AI capabilities, product direction, and long-term research strategy. This is a hands-on leadership role for someone who combines research depth with experience building and deploying AI systems at scale. You will set technical priorities, guide model and infrastructure decisions, and work directly with the team on challenging research and engineering problems. Partnering closely with Product, Engineering, and Data teams, you will turn research advances into reliable product capabilities. You will also build the team, experimentation practices, and technical foundation needed to move quickly while maintaining high standards for quality and performance.

$244k - $313k

Nebius is seeking senior- and staff-level ML Engineers to join its AI R&D team, focusing on applied research in AI. This team publishes research in areas such as applying reinforcement learning for agent training, scaling data collection for reinforcement learning, and developing robust evaluation methods for AI agents. The role involves conducting experiments to discover efficient methods for training large language models, exploring guided generation techniques, mining web-scale data for model post-training, and experimenting with reinforcement learning configurations. Research findings often lead to practical applications through collaboration with other teams.

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Anthropic

Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.

$300k - $320k

Turing

Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $400k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k

Turing

Turing is seeking Research Engineers to advance the understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k

Turing

Turing is at the forefront of accelerating superintelligence to drive economic progress. We partner with leading AI labs and enterprises to create high-quality datasets, reinforcement learning environments, and research benchmarks that enhance model capabilities in areas like software engineering, enterprise knowledge work, and advanced STEM reasoning. Our work spans both foundational research and applied AI development, focusing on synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. We aim to bridge the gap between cutting-edge research and real-world deployment, using deployment signals to refine data, evaluations, and models.

$250k - $400k