Research

Senior Research Engineer – Generative AIGermany - Remote first €80,000 – €100,000 2 year contract  This role sits inside a research-driven engineering team building real Generative AI systems that are meant to leave the lab and prove their value in the world.It is about building working GenAI agents, putting them in front of partners, stress testing them, improving them and demonstrating that they solve meaningful problems. The domains range from public safety and social services to finance. The common thread is impact. In the first six months, you would join an applied project where the goal is to prototype a GenAI agent and convince an external partner that it creates tangible value. You would work closely with a senior researcher, iterating quickly, shipping regular merge requests, refining features, spotting technical risks early and improving the system week by week. There is a strong emphasis on being able to explain what you built, both to technical peers and to non-technical stakeholders. The environment is intentionally exploratory. New models, new agent frameworks, new tooling. If something promising appears, you are encouraged to test it. The team meets in person every Tuesday in Heidelberg, but beyond that there is flexibility. English is the working language.You might be refining prompts and evaluation loops for LLM-based systems, experimenting with coding agents, shaping system architectures, or mapping out a lightweight roadmap for how a prototype could evolve into something commercial. You will be close to decision making, not buried in a narrow implementation silo.Who we're looking for:Working with LLMs or GenAI in practice since at least 2023, comfortable building in Python with proper version control.A Master’s or PhD in Computer Science, AI or a related field fits well.Industry experience matters more than labels.Experience with coding agents such as Cursor or Codex is particularly interesting, as is familiarity with modern GenAI libraries and lightweight MLOps tooling.Just as important is adaptability. The technology moves fast and so does the direction of applied projects. The interview process is technical but practical. There is an initial technical conversation focused on engineering and GenAI fundamentals, followed by a motivational discussion, and then an in-person day that includes collaborative coding using AI coding agents. The coding session focuses more on how you think and structure a solution than on perfect syntax. This is suited to someone who enjoys building at the edge of what is currently possible with Generative AI, but who also cares whether the result genuinely improves something for real users.If this sounds interesting, please apply here and a member of the team will be in touch.

Founding Machine Learning Research Engineer (Evaluation & Model Iteration Focus) Location: Bay Area Onsite We’re working with a pioneering stealth-stage company in the Bay Area that is redefining how AI is evaluated in healthcare.   Founded by ex-Stanford AI Lab researchers, ex-AWS, with deep expertise in representation learning and working on LLM interpretability.  We are looking for a Founding ML Engineer to: Lead investigations into model behavior, failure modes, and uncertaintyDeliver decision-grade evidence that informs FDA submissions and hospital adoptionWork directly with medical imaging vendors and hospitalsCombine hands-on ML skills with strong customer-facing judgment  To succeed in this role, we're looking for a genuine interest in rigorous evaluation/testing of ML systems, especially in medical AI.  This is a high-impact, high-ownership role, your work will directly influence real-world outcomes, FDA approvals, and how high-stakes AI is governed.  Compensation includes competitive salary $200k - $250k   meaningful early-stage equity (1–3%).  If this sounds like something you’d be excited about, please apply with your resume and we can set up a quick conversation to share more details.

About the Company We’re supporting a venture-backed AI company building cutting-edge surgical AI systems focused on video understanding. Their initial product transforms surgical videos into structured clinical reports - a focused entry point into a much bigger vision: developing a large-scale surgical foundation model, ultimately enabling advanced perception systems and autonomous surgical robotics.This is a deep-tech team building models from first principles - not treating AI as a black box. They combine ambitious research goals with real-world deployment in high-stakes medical environments. The Role Our client is hiring a Computer Vision Engineer who operates at the intersection of research and production. This is not a pure research role - and not just product engineering. They’re looking for someone who can:Deliver research-grade innovationWrite clean, scalable, production-ready codeMove fluidly between experimentation and deploymentYou will work on state-of-the-art video understanding systems that convert unstructured surgical footage into structured intelligence. This role is central to their long-term roadmap toward advanced autonomy. What You’ll Work OnDesigning and training advanced video understanding modelsExtending image-based CV architectures into temporal domainsWorking with multimodal and potentially 3D data (point clouds beneficial)Building scalable training pipelines, including distributed trainingBridging research prototypes into production systemsContributing to publications at leading AI conferencesCollaborating closely with a highly technical founding teamWhat They’re Looking For Technical BackgroundStrong foundation in Computer Vision on imagesExperience in video understandingExposure to 3D data / point clouds (beneficial)Experience with model training pipelines and optimizationAbility to implement research papers quickly and robustlyStrong software engineering fundamentalsResearch MindsetTrack record (or clear potential) for top conference-level workAbility to derive models from first principlesDeep understanding of modern CV architecturesProblem-SolvingComfortable working in ambiguous environmentsStrong analytical and structured thinking skillsAble to tackle unfamiliar domains effectivelyCollaboration & Product AwarenessUnderstands real-world constraints and client needsComfortable working closely with cross-functional teamsThrives in a collaborative environment (not a solo contributor role_Why Consider This Opportunity?Meaningful Impact - Building AI systems that support safer surgical procedures and improve access to care. Big Technical Vision - Report generation is the entry point. The broader roadmap includes foundational models and advanced autonomy systems. Genuine Deep Tech - This team is building core models and infrastructure from the ground up. Publication & Credibility - Publishing at leading conferences is part of the company’s DNA. Strong Talent Density - You’ll work alongside highly technical peers in an ambitious, research-driven environment.

Multimodal AI Systems: Chief Scientist/ Principal Technical Leader We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands-on system ownership, spanning model innovation, training, inference, and production deployment. You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting-edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency). RequirementsDeep expertise in multimodal learning with hands-on experience training large-scale vision-language, video, or multimodal models.Strong understanding of transformers, diffusion models, and large multimodal model inference.Proven research impact (top-tier conferences preferred) and/or significant open-source contributions.Ability to translate frontier research into production-grade AI systems.