Find your next AI engineering role.

SambaNova

SambaNova is seeking a Compiler Architect to join their team and drive innovation in compiler infrastructure and optimization algorithms. This critical role involves working with various layers of the compiler stack and coordinating with development teams to ensure state-of-the-art ML model performance on the SambaNova platform. Responsibilities include analyzing PyTorch and machine learning models to map operations onto the company's unique dataflow hardware.

$210k - $280k

Datadog

Datadog AI Research (DAIR) is seeking a Research Manager to lead a team focused on fundamental research in foundation models and world models. This role involves advancing large-scale pre-training and multimodal learning using diverse signals from distributed systems. The manager will provide technical leadership, mentor researchers and engineers, shape research direction, and collaborate with product and engineering teams to translate research into products. This position is ideal for an experienced researcher or technical leader who wants to maintain hands-on research involvement while leading a high-performing team.

We are expanding our research and development for deep learning and are seeking excellent Software Engineers to join our team. We specialize in developing GPU-accelerated deep learning software, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced, customer-oriented team is required, and excellent communication skills are necessary.

NVIDIA is seeking outstanding Software Engineer Interns to contribute to the development of groundbreaking technologies for AI and deep learning kernel libraries. The team focuses on building core software that accelerates high-impact AI workloads on NVIDIA GPUs, with an emphasis on deep learning primitives, kernel libraries, and performance-critical GPU software. Interns will engage in the design, development, optimization, and delivery of software integral to NVIDIA's AI platform, with opportunities to work on low-level kernels, performance primitives, and efficient implementations for modern AI and deep learning workloads. This role involves contributing to GPU-accelerated deep learning primitives, attention kernel implementations, runtime components, code generation systems, and performance-critical infrastructure for advanced AI applications, collaborating with world-class engineers across various AI software domains.

NVIDIA is seeking a Senior System Software Engineer with deep expertise in speech technologies to support enterprise and developer customers. This role involves hands-on technical engagement with customers to implement, troubleshoot, and optimize Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Language Models (ALM), and Speech-to-Speech (S2S) systems in production environments. If you're creative and passionate about solving real-world conversational AI problems, join our Speech AI Engineering team at the forefront of technological advancement.

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

NVIDIA is seeking skilled interns in artificial intelligence computing solutions to join our AI Compute team in Taiwan. This internship offers the opportunity to work on advanced AI systems, contributing to the development of technologies for Large Language Models, Recommender Systems, and Generative AI, while pushing the limits of GPU performance for AI inference. Interns will focus on specialized tracks within TensorRT-LLM for inference optimization or TensorRT Compiler for graph optimization.

NVIDIA is seeking a Senior System Software Architect specializing in AI and GPU Networking to join their AI Networking Research team. This role involves exploring technological challenges in accelerated networking and building AI data centers, researching new transport functions and semantics for optimizing AI workloads and systems, and leading architectural and development efforts across various fields including distributed AI, deep learning, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, and storage. The architect will enhance NVIDIA's GPU Networking offerings, co-design hardware features to accelerate data movement for inference and model serving, identify and evaluate new technologies, and lead the architecture and design of new innovations like runtime systems and communication libraries.

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$320k - $485k

Mirage is seeking an ML Engineer to build and scale the systems powering their video generation models. This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation. You will work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.

$175k - $300k

PostEra

PostEra is seeking a Machine Learning Researcher to spearhead the development of an agentic research vertical. This role involves leveraging agentic systems to automate the creation of mechanistic models for biochemical and physiological processes, and to analyze biological data for target validation. You will collaborate closely with chemists and biologists to guide drug discovery decisions using these models. A key focus will be on developing machine learning methods capable of rapid adaptation to new drug discovery challenges with limited labeled data, particularly in molecular and tabular in-context learning and building foundation models from proprietary multimodal data. You will be responsible for the entire research loop, from defining tasks and constructing datasets to training and scaling models, performing rigorous ablations, and translating successful methods into practical capabilities for PostEra's scientists. While prior drug discovery experience is not mandatory, a strong motivation to learn the domain and collaborate with interdisciplinary scientists is essential.

Tavus

Tavus is building the human layer of AI, aiming to make human-AI interaction as natural as face-to-face communication. We pioneer research in multimodal AI for modeling human communication (language, audio, video) and generating audio-visual avatar behavior, powering applications from text-to-video avatars to real-time conversational video. We are a Series B company backed by top investors, seeking individuals who thrive in startup environments, can prioritize independently, and are willing to take calculated risks to help pave the path forward.

NVIDIA is seeking AI development interns to join our AI Infra team. This team focuses on enabling NVIDIA and its customers to scale deep learning workflows more efficiently. The work involves building infrastructure for data storage, processing, retrieval, and mining, as well as developing tools for workflow orchestration, issue triage, and model KPI evaluation and testing. The team also handles AI data at a massive scale for applications like autonomous driving.

Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in this team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt.

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes, specializing in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, and Context Engineering. As a Data Scientist on this team, you will partner with a cross-functional group of experts to deliver Generative AI solutions, leveraging a broad stack of technologies including Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will be involved in all phases of Generative AI model and pipeline development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$162k - $185k

We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. You will help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences.

$179k - $205k

As a Data Scientist at Capital One, you will be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives. The AI for Data team builds and ships state-of-the-art machine learning solutions to support the data lifecycle within the enterprise, partnering with product, tech, and design teams to deliver personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging ML technologies.

$162k - $185k

Capital One is building trustworthy and reliable AI systems to transform banking. We leverage machine learning for real-time, intelligent customer experiences and are committed to world-class applied science and engineering. The AI Foundations team is central to this vision, working across the research lifecycle from academia to production systems. You will partner with cross-functional teams to deliver AI-powered products, using technologies like Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze vast amounts of data. This role involves building AI foundation models through all development phases, from design to implementation, and engaging in high-impact applied research to drive next-generation customer experiences.

$263k - $300k

Perplexity AI

Perplexity is looking for an experienced Machine Learning Research Engineer to contribute to the development of next-generation advanced search technologies, with a particular emphasis on retrieval and ranking. This role involves architecting and building core components of the search platform and model stack, and deploying models from boosting algorithms to LLMs in a scalable and performant manner. The engineer will also be responsible for building and optimizing RAG pipelines for grounding and answer generation, and collaborating with cross-functional teams to ensure high-quality delivery.

NVIDIA is seeking a TensorRT-LLM Software Development Engineering intern to join its AI Computing team. This role involves contributing to the development of inferencing software that powers deep learning breakthroughs in areas like LLM, ChatGPT, and Generative AI. The ideal candidate will work in a fast-paced, delivery-focused team and possess excellent interpersonal skills.

NVIDIA is seeking a Performance Software Intern for Deep Learning Libraries. This role involves developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs, contributing to the foundational software that powers AI advancements. The intern will focus on achieving peak GPU efficiency for current and future GPU generations, working with code at a low level, close to the GPU hardware. The team's work is exemplified by the open-source CUTLASS project, which demonstrates performant matrix multiplication on NVIDIA's Tensor Cores using CUDA.

NVIDIA is seeking a Software Development Engineer to contribute to the TensorRT LLM and TensorRT Edge LLM projects within its AI Computing team. This role involves developing inferencing software that powers deep learning-based AI advancements, including LLMs and Generative AI. The ideal candidate will work in a fast-paced, delivery-focused environment and possess excellent interpersonal skills.

NVIDIA is seeking passionate Compute/DL Architecture Performance Optimization Interns to explore computer architectures for deep learning and work at the intersection of hardware and software. The role involves mining the ultimate performance of deep learning operators and designing scalable infrastructure to ship highly optimized operators to NVIDIA's software libraries for training and inference.

As an AI engineer at WRITER, you will be instrumental in shaping how enterprises leverage superintelligence. This role involves building tangible AI solutions that power the future of work for leading global companies. Your contributions will directly influence the performance, scalability, and ethical alignment of our advanced LLMs and AI agents, enabling businesses to achieve unprecedented productivity and innovation through AI grounded in their data.

$198k - $259k

Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k

Join JPMorganChase's Machine Learning Center of Excellence as a Lead Software Engineer, contributing to the Artificial Intelligence and Machine Learning Data Platforms team. You will be a key member of an agile team, responsible for designing and delivering market-leading technology products securely, stably, and at scale. This role involves implementing critical technology solutions across various technical areas to support business objectives, collaborating with experts in machine learning, deep learning, and reinforcement learning.

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM, Optimization, and Finetuning. This role involves partnering with cross-functional teams to deliver AI-powered products that enhance customer interactions with their money. You will leverage a broad stack of technologies, including Pytorch, AWS Ultraclusters, Huggingface, and Lightning, to analyze vast amounts of data and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, pushing the boundaries of AI for next-generation customer experiences and translating complex work into tangible business goals. Collaboration with senior researchers for tech reports and conference submissions is also a key aspect of the role.

$219k - $250k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on creating trustworthy and reliable AI systems that are transforming the banking industry. This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging a broad stack of technologies to uncover insights from vast datasets, and building AI foundation models through all development phases. You will engage in high-impact applied research to push the boundaries of AI for customer experiences and translate complex technical work into tangible business goals. The ideal candidate is innovative, creative, a leader, and technically proficient with a deep understanding of AI methodologies and experience building large deep learning models.

$219k - $250k