Senior AI Research Engineer Jobs

Thinking Machines Lab

Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools that allow users to customize AI for their unique needs. This role leads the Fine-tuning Science team, focusing on frontier customization techniques and the Tinker post-training engine. It's a player-coach position where you will remain hands-on with scientific research while also guiding the team, shaping its direction, and ensuring research findings are integrated into Tinker. You will collaborate with internal research teams, contribute to open science, and engage with external users.

$350k - $475k

LanceDB is seeking an AI Research Engineer to collaborate with their research team on open-ended research projects. The role focuses on end-to-end training flows across various AI domains, demonstrating how LanceDB can accelerate research. This is a unique opportunity to pursue research interests as an engineer, significantly impacting product development and raising awareness of LanceDB's capabilities.

$150k - $255k

FAR.AI, a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial, is seeking a Research Lead to spearhead its pre-training safety initiatives. This role focuses on shaping AI models at their source by controlling capabilities and internal representations, aiming to prevent misuse and reduce loss-of-control risks. The work involves scaling methods for large models, validating approaches like data filtering and gradient routing, and exploring techniques such as unlearning. The Research Lead will direct these efforts, collaborate with red teams for stress-testing, and analyze scalability to frontier systems. This position offers significant autonomy within an impact-driven environment, focusing on empirically grounded, scalable ML safety research.

$290k - $450k

NVIDIA AI for Media is seeking outstanding engineers to join its team, focusing on building and optimizing real-time AI solutions for media and entertainment workflows. This role will involve setting the technical direction for content authenticity AI, architecting model and pipeline strategies for detecting synthetic and manipulated media, and making critical build-vs-adapt decisions. The team works on core technologies to solve ambitious computer vision and deep learning problems, aiming to deliver studio-quality audio and high-resolution video enhancement and effects.

$272k - $431k

Decagon

Decagon is seeking a Senior Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, taking ownership of their work from end-to-end, and making high-impact technical decisions.

$200k - $400k

TwelveLabs is building the intelligence layer for video data, enabling machines to understand video content across sight, sound, and motion. Our multimodal AI models power production-scale AI workloads in media, entertainment, sports, security, and government. We are a global company headquartered in San Francisco with offices in Seoul, New York, and London, seeking individuals driven by hard problems who want their work to matter. This role focuses on developing core capabilities for multimodal understanding, specifically structure and semantics, contributing to our unified agentic system, Jockey, and our embedding model, Marengo.

Salary not listed

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.

$295k - $500k