Senior AI Research Engineer Jobs

AssemblyAI

AssemblyAI is a leading Voice AI company developing foundational speech models that power the next generation of voice applications. We operate at a significant scale, processing millions of hours of audio daily and serving billions of end-user experiences. This is a growth-stage opportunity within a capital-efficient company that offers significant ownership and impact. We foster a flat culture where employees are deeply involved in the details and can drive their work forward without bureaucratic hurdles. If you are passionate about Voice AI and want to solve interesting problems at scale, this is the place for you.

$270k - $310k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability, aiming to discover how neural network parameters map to meaningful algorithms. This involves reverse-engineering how trained models work, treating neural networks like biological systems or computer programs to be reverse-engineered. The team's goal is to create a solid scientific foundation for understanding neural networks and making them safe, with a focus on issues like "superposition" and decomposing models into interpretable components. This role supports a team of expert researchers and engineers working on these ambitious safety research goals.

$350k - $500k

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

Genmo is a research lab developing sophisticated video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.

Salary not listed

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.

Salary not listed

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Aleph Alpha

Aleph Alpha is seeking a Senior Performance Engineer to join their pre-training efficiency team in Heidelberg. This role focuses on optimizing the systems required to train foundation models at scale, aiming to maximize hardware utilization and training throughput on large-scale GPU clusters. You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture to eliminate bottlenecks from the Python layer down to the GPU kernel. The team fosters a culture of ownership, autonomy, and empowerment, with a flat organizational structure that enables quick decision-making and open communication.

Salary not listed

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on building 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 analyze vast amounts of data, and building AI foundation models through all phases of development. You will engage in high-impact applied research, translating complex work into tangible business goals, and collaborating with senior researchers on novel methods and findings. The ideal candidate is innovative, creative, and technically adept, with a deep understanding of AI methodologies and experience building large deep learning models.

$219k - $250k

Aleph Alpha

Aleph Alpha is seeking a Senior AI Researcher to join our hallucination reduction capability team. This role focuses on pushing the boundaries of LLM post-training, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), to reduce model hallucinations and improve grounding in evidence. You will be part of a team conducting cutting-edge research on foundational models, with access to hundreds of GPUs, contributing to the development of trustworthy GenAI for industrial applications.

Salary not listed

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM Core and Agentic AI. This role involves creating trustworthy and reliable AI systems that are transforming the banking industry. You will partner with cross-functional teams to deliver AI-powered products, leverage a broad stack of technologies including PyTorch and Huggingface, and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, translate complex work into tangible business goals, and collaborate with senior researchers on novel methods and findings.

$219k - $250k

Black Forest Labs is building the foundational layer for visual intelligence, developing multimodal models trained on images, video, audio, and action. Our team pioneered latent diffusion and Stable Diffusion, making generative AI accessible. We are pushing generative media at scale and developing machines that act in the physical world. This role focuses on the critical challenge of evaluating the performance and quality of frontier image and video models, as public benchmarks have fallen behind the capabilities of current models. You will be instrumental in building and refining the evaluation system that assesses every model checkpoint, finetuning run, and competitor release, providing essential insights for product research and development.

€150k - €220k

Encord is seeking a Research Engineer to join its ML team, focusing on robotics, computer vision, and multimodal research. This role involves working on data curation, annotation, evaluation, and quality control, with successful projects integrated into the core product. You will tackle evolving research problems across the entire data lifecycle, contributing to a market-leading platform. The position offers the opportunity to develop generalized solutions for diverse multi-modal tasks using a massive flow of proprietary data, working alongside leading robotics and physical AI teams.

Salary not listed

The Foundational AI Research team in Israel is shaping next-generation autonomous driving (L3 and beyond) by advancing the state of the art in AI for autonomous vehicles. As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios. Your work will influence millions of drivers worldwide and define what’s next in autonomous driving.

Salary not listed

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. The company is at the forefront of voice technology, processing vast amounts of audio and transcribing trillions of words. Deepgram fosters an AI-first mindset, expecting all team members to actively use, experiment with, and integrate advanced AI tools into their daily work, embracing rapid change and continuous learning. This role offers the opportunity to pioneer new paradigms in audio AI, addressing fundamental challenges in data scarcity, scale, and cost to make voice interaction universally accessible.

Salary not listed

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text, text-to-speech, and building voice agents. We are seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role requires an AI-first mindset, comfort with rapid experimentation, and a drive to push the boundaries of AI technologies. You will work on challenges that require entirely new paradigms for audio AI to make voice interaction accessible to everyone.

Salary not listed

Deepgram

Deepgram is seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role involves pushing the boundaries of audio AI by developing next-generation neural audio codecs, steerable generative models, and advanced embedding systems. The goal is to create entirely new paradigms for audio AI that make voice interaction accessible to everyone, overcoming limitations of current sequence modeling. You will focus on solving complex problems related to data scarcity, high dimensionality, and computational costs in audio processing.

Salary not listed

Cognition

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.

Salary not listed

Aleph Alpha

Aleph Alpha is seeking a Senior AI Researcher to join their Pre-training team, focusing on advancing the architecture and training of next-generation foundation models. This role involves designing inference-efficient architectures, optimizing large-scale training recipes, and working with thousands of NVIDIA GPUs. The position is ideal for someone excited about the intersection of research and engineering, translating mathematical reasoning into principled training decisions from small-scale experiments to large-scale runs. The researcher will influence model quality, run reliability, and efficiency by combining rigorous experimental design with high-quality production code.

Salary not listed

Aleph Alpha

Aleph Alpha is seeking exceptional Senior AI R&D Engineers to join our model training team. You will contribute to building and improving our foundation model pre- and post-training pipeline, which has been used to train Kolibri. This role involves working across the full stack, optimizing training schedules, enabling large-scale code execution for reinforcement learning, and enhancing evaluation codebases. You will have a direct influence on the development of our training pipeline and infrastructure, shaping how quickly we can experiment and improve our models. The position emphasizes identifying issues, taking initiative, and collaborating with team members on working modes, design decisions, and priorities.

Salary not listed

At Capital One, we are building trustworthy and reliable AI systems to transform banking. We are seeking an Applied Researcher to join our AI Foundations team, which is central to bringing our AI vision to life. This role involves partnering with a cross-functional team to deliver AI-powered products, leveraging a broad stack of technologies to analyze large datasets and build AI foundation models through all phases of development. You will engage in high-impact applied research, translating complex work into tangible business goals and collaborating with senior researchers on novel methods and findings.

$219k - $250k

Luma is seeking a Research Scientist/Engineer to build the systems that enable reinforcement learning (RL) at a frontier scale. This role involves coupling policy optimization with large fleets of inference workers, agentic environments, and reward/verification systems to translate model behavior into learning signals. RL is crucial for Luma's models to evolve from capable to useful. This is a full-loop systems problem encompassing training, rollout generation, environment execution, and reward computation across thousands of GPUs, requiring speed, stability, and correctness. The ideal candidate has experience with post-training LLMs using RL, building environments and verifiers, and debugging large-scale asynchronous rollout pipelines.

Salary not listed

Datadog

Datadog AI Research (DAIR) is seeking a Staff Research Scientist to lead research in post-training and autonomous agents. This hands-on role involves advancing reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating in complex systems. You will define the technical direction for research programs, elevate the skills of your colleagues, and collaborate with product and engineering teams to integrate research breakthroughs into Datadog's offerings.

$320k - $400k