Research

Senior Data Scientist As a Senior Data Scientist, you’ll work at the intersection of advanced sensing, optics, electronics, and computation, pushing the limits of what can be detected and understood. You’ll take ownership of the complete data analysis pipeline for our next-generation microscopy platform: from sensor characterization and noise modelling to algorithm development and physical data interpretation. Your goal is to extract robust insights from complex experimental datasets and turn them into smarter instruments, faster measurements, and tangible value for the semiconductor industry. Your ResponsibilitiesAnalyse large and noisy experimental datasets from high-precision microscopes, design robust algorithms, and extract physics-based insights.Develop and validate advanced signal-processing and statistical-analysis methods that enhance the resolution, speed, and robustness of our sensing platform.Design and interpret experiments involving optics, electronics, and digital systems to identify and mitigate performance bottlenecks.Translate analytical findings into actionable improvements for both hardware and software, working closely with engineering teams to implement them.Mentor junior team members, ensuring best practices in analysis, reproducibility, and documentation.Communicate results clearly to both technical peers and external industry partners.Your ProfilePhD in Physics, Electrical/Optical Engineering, Applied Mathematics, or a related discipline (exceptional MSc candidates with 6+ years of relevant R&D experience welcome).Minimum 4 years of experience applying data science in experimental or instrumentation-driven environments (semiconductors, photonics, imaging, or sensing).Proven expertise in statistical data analysis, experimental design, and advanced signal processing.Track record of developing and deploying algorithms using version control and reproducible workflows.Hands-on mindset and comfort working closely with hardware in the lab.Excellent communication skills; able to turn complex data into clear, actionable insights.(Nice to have) Background in quantum measurement techniques, advanced microscopy, or semiconductor device physics.Our BenefitsCompetitive salary with equity participation30 days of paid vacation plus public holidaysCompany-sponsored Well pass membershipAnnual learning & development budgetRegular team events and off sites

Member of Technical Staff - Pre-Training (Remote US)This is an opportunity to join one of the smartest, most ambitious teams in the AI space. Founded in 2023, this fast-growing research and product company is already being talked about alongside some of the biggest names in foundational model development. They’re building powerful, intelligent agent systems and frontier-scale models - and they believe software engineering is the most direct path toward achieving AGI.With major backing from industry leaders, significant compute infrastructure, and a focus on mission-critical enterprise and public-sector environments, they’re tackling some of the hardest AI challenges out there.The RoleAs a Member of Technical Staff (Pre-Training / Data), you’ll be part of a high-performing Data team inside the Applied Research machinery that powers the company’s pre-training and reinforcement learning breakthroughs. Your goal: build the datasets that make better models possible. This is a hands-on, deeply technical role at the intersection of data engineering, research, and large-scale systems.What You’ll DoBuild, scale, and refine huge datasets made up of natural language and source code to train next-gen language modelsWork closely with pre-training, RL, and infrastructure teams to validate your work through fast feedback loopsStay ahead of the curve on data generation, curation, and pre-training strategiesDevelop systems to ingest, filter, and structure billions of tokens across diverse sourcesDesign controlled experiments that help uncover what works and what doesn’tBe a core voice in shaping how the team approaches data for model training - a vital part of their long-term AGI missionWhat You BringSolid hands-on experience with large language models or large-scale ML systemsStrong track record building or working with massive datasets - from raw extraction through to filtering and packagingExposure to training models from scratch - ideally using distributed GPU clustersProficient in Python and ML frameworks like PyTorch or JAX, plus confidence working in Linux, Git, Docker, and cloud/HPC environmentsGreat if you also have some C++/CUDA, Triton kernels, or GPU debugging backgroundYou’re a thinker and a builder - someone who can read the latest paper and turn it into something real, quicklyWhat’s In It for YouFully remote US37 days of paid time off annuallyComprehensive health cover for you and your dependentsMonthly team meetups - travel, accommodation, and even family attendance coveredHome office and wellbeing budgetA competitive salary plus meaningful equityThe chance to work with some of the brightest minds in AGI and do genuinely original workWhat the Process Looks LikeRecruiter intro callFirst technical interview focused on LLMs, performance, or core engineering skillsSecond technical deep dive into your domain (pre-training, data, scaling, etc.)Culture conversation with the founding engineersFinal discussion on compensation and alignmentIf you’re driven by building systems that could reshape how intelligence works - and you want to be surrounded by people who share that fire - this team is where you belong.

Applied AI Research Engineer – Intelligent Robotics Location: Remote, EU (within CET ±3 hours) Employment Type: Full-time Department: Engineering About the Opportunity We’re partnering with an innovative robotics company on a mission to redefine intelligent automation in manufacturing. This organisation is building next-generation robotic systems that combine cutting-edge AI with flexible hardware to create smarter, more adaptive automation solutions for real-world production environments. As an Applied AI Research Engineer, you’ll contribute directly to developing advanced AI systems for robotics — transforming the latest academic and industry research into deployable, real-world solutions. This is a hands-on research and development role at the intersection of AI, robotics, and embodied intelligence. What You’ll DoConduct R&D in areas such as:Foundational Models (LLMs, VLMs, VLAs): Apply multimodal and large language models to robotic decision-making.Reinforcement Learning: Design and implement control strategies for robotic manipulation and task execution.Sim2Real Transfer: Leverage synthetic data and simulation tools to enable robust model deployment in real environments.Collaborate with cross-functional engineering teams to bring research concepts to production-ready applications.Stay at the forefront of the latest advancements in AI and help shape how intelligent automation evolves in manufacturing.About YouStrong background in machine learning, deep learning, computer vision, or algorithmic development.Hands-on experience applying research to real-world use cases.Solid understanding of LLMs, VLMs, and reinforcement learning (on/off-policy, actor-critic, model-based).Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.Comfortable working in Linux environments with tools like Docker, Git, and Conda.Familiarity with cloud platforms (AWS, Azure, or GCP).Excellent analytical and problem-solving abilities, with a structured and creative mindset.Strong communicator who can clearly express complex concepts and research insights.Nice to HaveExperience with robotics systems (e.g. ROS/ROS2, Behaviour Trees)Exposure to agentic AI or multimodal AI researchWhy ApplyJoin a company pioneering AI-driven robotics with a mission to make automation accessible and efficient across industries.Work alongside an expert team at the forefront of intelligent systems development.Enjoy a flexible, remote-first culture with competitive compensation and opportunities for growth and innovation.

Lead Speech Research Scientist (ASR/TTS) London preferred | Remote considered | Visa sponsorship availableWe’re collaborating with a growing AI company developing advanced conversational technologies that power intelligent voice and chat systems for global enterprises. This is a senior research and leadership role for someone with deep expertise in ASR, TTS, and related speech–language technologies. You’ll head a high-impact research group, working directly with company leadership to define research priorities, guide technical direction, and translate innovations into production.Key Responsibilities:Lead applied research and development in speech recognition, speech synthesis, and conversational AI.Define the research roadmap and ensure alignment with strategic and product goals.Mentor and grow a team of researchers, fostering collaboration and innovation.Translate real-world product challenges into clear research objectives and milestones.Oversee data strategy, evaluation metrics, and system performance.Collaborate closely with product and engineering teams to deploy research outcomes.Represent the team externally through papers, conferences, and community engagement.What We’re Looking ForPhD (preferred) or Master’s in Speech Technology, Computer Science, or related field.Proven expertise in Automatic Speech Recognition (ASR) and/or Text-to-Speech (TTS).3+ years of applied research experience in speech or language AI (industry or academic).2+ years leading or mentoring research teams or projects.Strong programming skills in Python, with deep learning experience using PyTorch.Practical experience taking models from research to production environments.Bonus SkillsExperience with multilingual or low-resource speech systems.Familiarity with LLM integration into conversational pipelines.Strong engineering foundations (Git, Docker, CI/CD).Publications in major speech or AI conferences (e.g., Interspeech, ICASSP, NeurIPS).This is a key hire in a company entering an exciting growth phase — an opportunity to shape the future of speech and conversational AI while leading a talented, expanding research team.

LLM Engineer (Mid-Senior)Location: SpainSalary: €65k-€80k base + bonuses + relocation packageAbout the Company:A rapidly growing deep-tech firm creating advanced AI solutions that enhance efficiency and performance across sectors such as finance, energy, and manufacturing. Our diverse, international team thrives on collaboration and innovation. Role Overview: We are looking for an LLM Engineer to develop, refine, and deploy large language models. You will work on state-of-the-art AI projects, integrating models into products and solving complex, practical challenges.Key Responsibilities:Design and implement techniques to make LLMs more efficient, scalable, and effective.Conduct thorough evaluations and optimizations to improve model accuracy, speed, and reliability.Identify opportunities for innovation and propose creative solutions.Maintain clear documentation of experiments and outcomes; support and mentor junior engineers.Keep up to date with advances in LLM research and emerging AI technologies.Required Qualifications:Master’s or Ph.D. in AI, Computer Science, Data Science, or related field.Mid: 2+ years hands-on experience with transformer models; Senior: 5+ years including other deep learning architectures.Strong Python programming skills and experience with PyTorch, HuggingFace, and cloud/deployment tools.Solid understanding of deep learning concepts, model training, and GPU performance optimization.Excellent communication skills; fluent in English.Preferred Qualifications:Experience delivering AI solutions in industry.Spanish language skills and familiarity with large-scale cloud/HPC environments.Experience evaluating LLMs, building RAG systems, or working on other AI applications (CV, audio, signal processing).Awareness of AI ethics and best practices; DevOps/MLOps experience a plus.Perks & Benefits:Permanent contract with performance bonus and signing bonusPrivate health coverage, relocation and visa support if neededFlexible hours, hybrid work, educational budget, language classesCareer growth opportunities and collaborative work culture

Senior Deep Learning Scientist $160,000 - $250,000 (DOE) Onsite – New Haven, Connecticut A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to join their team. This innovative company is pioneering a first-of-its-kind platform to conduct preclinical studies, aiming to revolutionize the understanding and treatment of neurological diseases.As a Senior Deep Learning Scientist, you will play a pivotal role in designing and implementing AI models that integrate complex biological signals. You'll be at the forefront of pioneering work in areas such as generative graph representation learning, contributing to the development of novel AI architectures tailored to the intricacies of human brain biology.Key Responsibilities:Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.Develop deep learning architectures incorporating biological inductive biases, and explore generative graph representation learning to uncover novel patterns in brain data.Work closely with bioinformatics, experimental biology, and engineering teams to integrate multi-modal datasets into cohesive AI frameworks.Optimize deep learning pipelines for petabyte-scale datasets and ensure models are scalable on high-performance computing infrastructures.Publish research findings and present at scientific conferences to contribute to the broader AI and biomedical communities. Requirements:PhD or Post-doc in Computer Science, Machine Learning, or a related STEM field with a strong demonstrated track record of applying deep learning to biological problems.The ability to translate conceptual research frameworks into deployable architectures.Comfort working across research and applied implementation.Proven experience with GNNs. Experience with generative graph representation learning is a significant plus.Expertise in PyTorch with the ability to build and deploy scalable models.Familiarity with developing production-quality pipelines, cloud computing, and model deployment best practices.Demonstrated ability to research and implement novel deep learning architectures tailored to complex STEM datasets.Experience with high-performance computing (HPC) environments or distributed training techniques for large-scale GNN models. Apply now or reach out to Ben at benjamin@deeprec.ai to learn more!

Job Title: AI Researcher Location: Bay Area (Hybrid) Compensation: $250K–$290K + Equity We’re hiring on behalf of a fast-growing, well-funded Bay Area startup redefining video creation using generative AI. Their platform enables video-to-video generation — combining diffusion models, Gaussian splatting, and human-centric 3D rendering. In this role, you’ll:Research and deploy models for video generation, in-painting & 3D simulationWork on human-centric modeling (pose, movement, reenactment)Build on top of diffusion models, transformers, and neural rendering methodsCollaborate with a multidisciplinary team of researchers, engineers & artistsIdeal candidates have:A PhD (or equivalent) in AI, CV, or graphicsPublications in top venues (CVPR, NeurIPS, ICCV, SIGGRAPH, etc.)Strong experience with generative models or visual computingApply now to work on bleeding-edge visual AI with real-world impact.