Senior ML Researcher (Spectrum)

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   RESEARCH ENGINEERING (MACHINE LEARNING), LONDON  We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels. YOUR IMPACT  This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design. Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.   You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. WHAT YOU WILL DO  Implementation & Optimisation: * Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation. Experimentation & Evaluation: * Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed) Evaluation & Inference: * Implement algorithms and software to analyse and evaluate the performance of AI models. * Optimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack * Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior. * Developing specialised tools/frameworks/infrastructure to aid in the work above Collaboration & Knowledge Sharing: * Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment. Innovation & Impact: * Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms. * Ability to execute on independent engineering projects and software development towards research goals. SKILLS AND QUALIFICATIONS ESSENTIAL * Academic Background: Advanced degree (Master’s or PhD) in a highly quantitative field (Computer Science, AI, Physics, Mathematics, etc.) or equivalent practical experience. * ML Fundamentals: Deep understanding of machine learning principles and techniques. * Framework Expertise: Strong proficiency in deep learning frameworks such as JAX or PyTorch. * Modern Architectures: Hands-on experience building and working with modern model architectures (e.g., Transformers, GNNs, Diffusion Models). * Full ML Lifecycle: Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment). * Engineering Excellence: Excellent software development skills with strong algorithms and data structures fundamentals. * Collaboration & Communication: An excellent team player with strong written and verbal communication skills, able to collaborate seamlessly in a cross-disciplinary environment. * Agency: Self-directed with an ability to navigate ambiguity, propose and own complex projects, learn the necessary context, and readily adapt to new domains and developments. Nice to have * Proven Research Record: A history of scientific contributions (e.g., publications at NeurIPS, ICML, ICLR, CVPR) or significant contributions to state-of-the-art AI models. * Scale & Performance: Experience training models across distributed systems (multi-GPU/multi-node) and optimising training and inference performance (e.g., XLA, Triton, CUDA, Pallas). * Domain Knowledge: A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals. * Industry Experience: Proven track record working in reputable tech companies or research labs. * Applied ML: Experience developing models developed for real-world applications. * Infrastructure: Solid technical infrastructure knowledge and experience with low-level engineering (e.g., GCP, Kubernetes, Docker) CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Axelera AI

About Us Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview We are looking for a Staff Mechanical & Thermal Engineer to lead the development of cooling solutions for our AI accelerator cards and platforms based on Axelera's processors, targeted at the full spectrum from edge devices to high-performance computing (HPC) platforms. Typical products include PCIe accelerator cards, M.2 form-factor modules, OEM single board computer. The role has two clear missions: • Lead the design of Axelera's AI accelerator cards and platforms, ensuring mechanical fit and thermal performance from concept to production hand-off, owning both in-house design and the technical management of external suppliers for outsourced cooling solutions. • Test and validate the cooling solution end-to-end, including thermal simulation, simulation-to-test correlation, lab execution, and characterisation reporting suitable for senior management, suppliers, and customers. You will own the cooling-solution life-cycle from concept and structured trade-off analysis through validation and production hand-off, in close collaboration with industry partners, OEM customers, and external suppliers. The following domains are not relevant for this role: HVAC, automotive/aerospace thermal, additive manufacturing simulation, and pure research roles. Key responsibilities: Design Leadership * Architect cooling solutions across the full technology set: passive heat sinks, heat pipes, vapor chambers, cold plates, and heat spreaders for fanless systems * Drive make-or-buy decisions; manage in-house design or supplier-outsourced development accordingly * Run the full CFD cycle (model setup → correlation with test data) from chip to system level * Lead structured trade-off analysis and arrive at design reviews with clear, evidence-based recommendations * Partner with PCB and electronics engineers to co-optimise thermal and electrical design from the start Test & Validation * Define and execute validation plans with documented simulation-to-test correlation * Run hands-on thermal lab work: chambers, multi-channel DAQ, thermocouples, airflow and power measurements * Apply DOE methodology to plan campaigns efficiently within constrained test budgets * Automate measurement workflows and post-processing pipelines in Python * Produce clear characterisation reports usable by management, suppliers, and customers without further interpretation Supplier & Cross-functional Management * Scout, qualify, and manage cooling suppliers across the full lifecycle: NRE, sample qualification, design freeze, production transfer, quality resolution (8D) * Maintain project planning in Jira/Confluence and communicate status proactively across functions Requirements: * 10+ years in board/system-level mechanical and thermal design for electronics, including HPC-class platforms * Demonstrated experience with PCIe accelerator cards, M.2 thermal solutions, and fanless embedded systems * Full ownership of CFD/FEM simulation cycles (FloEFD, Icepak or equivalent) * High-TDP chip cooling (200 W+), forced-air server integration, heat pipe and vapor chamber design * Proficiency in 3D CAD (NX, SolidWorks, or similar) and rapid prototyping (3D printing, CNC) * Python for test automation and data post-processing; comfortable in Linux environments * Solid grasp of DOE, uncertainty analysis, and simulation-to-test correlation methodologies * Track record of supplier management including NRE negotiation and quality issue resolution * Strong communicator — able to deliver concise technical conclusions to senior stakeholders * Fluent in English; comfortable working across multicultural, distributed teams Nice to Have: * Experience with AI/ML accelerator hardware or high-density edge compute platforms * Exposure to two-phase cooling, immersion cooling, or cold plate design * Familiarity with LabVIEW, PyVISA, or version-controlled lab data pipelines * OEM customer engagement and design-in support experience   Location Work from our Axelera AI office in Eindhoven (Netherlands). The role requires on-site lab presence for the test and validation activities and is not remote-compatible. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

sipgate

WIR SUCHEN DICH Wir sind ein erfolgreiches, inhabergeführtes und eigenfinanziertes SaaS-Unternehmen mit einem schönen Campus im Düsseldorfer Medienhafen. Seit 2004 bauen wir Telefonielösungen, inzwischen mit knapp 260 Kolleg:innen, und arbeiten dabei crossfunktional, selbstorganisiert, immer fair und auf Augenhöhe. Für uns ist KI nicht nur ein Schlagwort oder der nächste große Hype. Es ist die beste Option, die Telefonie unserer Kund:innen – und damit ihren gesamten Arbeitsalltag – effizienter und intuitiver zu gestalten. Was uns dafür fehlt, ist ein:e Applied ML Researcher, die:der wissenschaftliche Methodik direkt in unsere praxisnahe R&D-Arbeit rund um Sprachmodelle und Conversational AI einbringt. Du operationalisierst offene Fragestellungen sauber, baust Experimente auf, evaluierst sie – und setzt vieles davon auch selbst um. Idealerweise bringst du einen linguistischen Hintergrund mit und denkst gleichermaßen in Hypothesen wie in echten Anwendungsfällen. DAS MACHEN WIR UND DARUM BRAUCHEN WIR DICH Als Applied ML Researcher entwickelst du forschungsnahe Problemlösungen, die unsere ML- und AI-Engineers in der Produktentwicklung aufgreifen. Du bringst wissenschaftliche Methoden direkt in die Praxis, mit dem Ziel, unsere KI-Produkte messbar besser und robuster zu machen. * Teamaufbau mitgestalten: Du wirkst aktiv am konzeptionellen und organisatorischen Aufbau unseres ML-Research-Teams mit und etablierst gemeinsam mit uns Forschungs-, Evaluations- und Transferprozesse. * Probleme operationalisieren: Du übersetzt offene Problemstellungen in saubere Hypothesen und überprüfbare Fragestellungen und wählst die passenden wissenschaftlichen Methoden, um sie zu beantworten. * Experimente konzipieren und umsetzen: Du entwirfst Experimente inklusive der dafür nötigen Grundvoraussetzungen (Daten, Baselines, Metriken, Setups) und überführst deine Ideen eigenständig in lauffähige Proof of Concepts. * Modelle optimieren und evaluieren: Du optimierst LLMs mit Techniken wie SFT, RLHF, RLAIF, DPO, Preference Learning und Reward Modellierung und entwickelst Ansätze zur Steigerung von Leistungsfähigkeit, Fairness und Robustheit – gerade in mehrsprachigen und sensiblen Anwendungsdomänen. * LLM-Systeme konzipieren: Du entwickelst prototypisch LLM-basierte Systeme entlang definierter Vorgehensmodelle. * Diskurs & Transfer: Du hast aktuelle Entwicklungen und Erkenntnisse immer im Blick, nimmst an Konferenzen und Fachcommunities teil und kommunizierst dein Wissen gut aufbereitet an deine (Team-) Kolleg:innen. SO SIEHT DEIN ARBEITSALLTAG BEI SIPGATE AUS: * Research meets Product: Du übersetzt wissenschaftliche Erkenntnisse in mögliche Produktverbesserungen und kannst klare, evidenzbasierte Empfehlungen aussprechen. * Experimentieren & Evaluieren: Du entwirfst Experimente samt der nötigen Grundvoraussetzungen, operationalisierst die entsprechenden Prozessziele, analysierst und evaluierst die Ergebnisse. * Hands-on umsetzen: Du bringst das Wissen und Skills mit, um deine Ideen selbst umzusetzen und Proof of Concepts zu bauen. * Lernen & Wachsen: Du teilst dein Wissen im Team und in der gesamten Firma. DAS BRINGST DU MIT: Must-haves * Mindestens drei Jahre Erfahrung im Umgang mit komplexen KI-Problemstellungen, mit Schwerpunkt in Bereichen wie fortgeschrittenen Lernparadigmen (Self-supervised Learning, Weak Supervision, Active Learning, etc.), NLP, Deep Learning, Reinforcement Learning, etc. * Fähigkeit, wissenschaftliche Methoden auf neue Problemstellungen anzuwenden. * Vertiefte Kenntnisse im Prompt Engineering und solides Verständnis moderner Trainings- und Inferenzpipelines. * Solides Verständnis von End-to-End-ML-Systemen: von Datenvorverarbeitung über Training und Inferenz bis zu Monitoring und Evaluation, auch in Cloud-basierten Infrastrukturen. * Sehr gute Kenntnisse in Python, marktüblichen Machine Learning Frameworks und mindestens einem Deep-Learning-Framework (PyTorch, TensorFlow, JAX, etc.). * Fundiertes Verständnis von Evaluationsmethoden für LLM-Systeme. * Du sprichst fließend Deutsch (mind. C1). * Du wohnst in Deutschland und bist bereit, mind. 1x pro Monat mit uns in Düsseldorf zusammenzuarbeiten. Nice-to-have * Erfahrung mit Audiomodellen, Speech-to-Text & Text-to-Speech sowie Conversational AI. * Erfahrung mit LangChain, LangGraph oder ähnlichen Frameworks. * Cloud-basierte ML-Infrastrukturen / MLOps. * Publikationen auf einschlägigen Konferenzen. Du fühlst dich angesprochen – auch wenn nicht jedes Kästchen ein Häkchen bekommt? Meld dich bei uns. Lass uns quatschen und schauen, ob es passt! SO TICKT SIPGATE * Wir sind von Kopf bis Fuß agil und das nicht nur auf dem Papier. Wie wir arbeiten, siehst du hier. * Wir haben flache Hierarchien und Peer-Verantwortung ist unser Credo – das bedeutet: Verantwortung übernehmen, eigene Entscheidungen treffen und aufeinander acht geben stehen hoch im Kurs. * Wir haben ein transparentes Gehaltsmodell und keine individuellen Gehaltsverhandlungen. Wie genau das funktioniert erfährst du hier. * Nachhaltigkeit ist für uns wichtig – unser Fuhrpark besteht nur aus E-Autos, private Autos laden während der Arbeitszeit kostenlos, wir beziehen unseren Strom von der Solaranlage, wir essen bio und regional und versuchen Verschwendung zu vermeiden. * Wir glauben fest an unser ‘Come as you are’-Prinzip und befinden uns auf der Reise sipgate so inklusiv zu gestalten, dass wir Menschen aller Geschlechter, ethnischen Herkünfte, Körperformen und sozialen Hintergründe herzlich willkommen heißen, Teil unseres Teams zu werden.