Aktuelle Jobs im Zusammenhang mit Senior Research Data Engineer: MSR AI for Science - zürich - Microsoft Deutschland GmbH
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Data Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Senior Data EngineerWaterstons Ltd Vollzeit CHF 120'000 - CHF 180'000 pro JahrData Engineer Winton Charing Cross, United Kingdom month ago Role details Contract type Permanent contract Employment type Full-time (> 32 hours Working hours Regular working hours Languages English Experience level Junior Compensation £ 69K Job location Charing Cross, United Kingdom Tech stack Airflow Algorithmic Trading Amazon Web Services (AWS Data...
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Senior AI Engineer
vor 2 Wochen
Zürich, Schweiz Artifact VollzeitA Swiss-based consulting company is looking for a Senior AI Engineer / Consultant to develop innovative AI solutions for clients in Switzerland. With 5+ years of AI and Data Science experience, you will design AI solutions, leverage data for business impacts, and build strong client relationships. The role offers a flexible work environment and an...
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AI Research Engineer
vor 2 Wochen
Zürich, Schweiz Mimic Robotics Vollzeitmimic is an early stage deep tech robotics & AI start-up based in Zurich and supported by leading VCs. We give industry workers a helping hand for tedious manual labor tasks and mitigate labor shortages with a versatile automation platform. Our automation solutions, driven by dexterous robotic hands and cutting edge AI trained on human observations, bring a...
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Research Engineer
vor 2 Wochen
Zürich, Zürich, Schweiz Vestir AI Vollzeit CHF 120'000 - CHF 180'000 pro JahrAbout UsVestir is revolutionising online fashion shopping through the use of AI-powered digital avatar technology. We are using cutting edge computer vision techniques and AI science to create an online shopping experience that has never been seen before.Are you entrepreneurially minded & looking for a challenge that could be the next big thing? Are you...
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Senior AI Engineer
vor 3 Wochen
Zürich, Schweiz Artifact VollzeitOverviewJoin to apply for the Senior AI Engineer / Consultant role at Artifact.AI brings huge potential, but many companies are still struggling to release the desired impact. We are a pragmatic and dynamic team to help “empower our business clients with AI”. You, as a talent, are needed to grow our business which started up from three founders with...
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AI Data Engineer
vor 4 Wochen
Zürich, Schweiz Zurich 56 Company Ltd VollzeitI am Laura, the recruiter for this position. Nice to meet you! First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait...
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Zürich, Schweiz Eidgenössische Technische Hochschule Zürich VollzeitProject Engineer in AI-Driven Process Monitoring for ManufacturingInspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries.The Machine...
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Senior AI Engineer
Vor 6 Tagen
Zürich, Schweiz Artifact VollzeitDescriptionAI brings huge potential, but many companies are still struggling to release the desired impact. We are a pragmatic and dynamic team to help “empower our business clients with AI”. You, as a talent, are needed to grow our business which started up from three founders with proven track-records in AI consulting and scaled AI...
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Senior AI Engineer
vor 2 Wochen
Zürich, Schweiz Artifact VollzeitDescription AI brings huge potential, but many companies are still struggling to release the desired impact. We are a pragmatic and dynamic team to help “empower our business clients with AI”. You, as a talent, are needed to grow our business which started up from three founders with proven track-records in AI consulting and scaled AI implementations. ...
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Senior AI Engineer
vor 2 Wochen
Zürich, Schweiz Artifact VollzeitOverviewAI brings huge potential, but many companies are still struggling to release the desired impact. We are a pragmatic and dynamic team to help “empower our business clients with AI”. You, as a talent, are needed to grow our business which started up from three founders with proven track-records in AI consulting and scaled AI implementations.For our...
Senior Research Data Engineer: MSR AI for Science
vor 2 Wochen
Senior Research Data Engineer: MSR AI for Science Multiple Locations, Germany Save Share job Date posted Oct 01, Job number Work site days / week in-office Travel % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Research Sciences Employment type Full-Time Overview At Microsoft Research AI for Science, we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs. We seek a highly motivated Senior RSDE to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins - how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science (see our blog post for links to our open-source software and other resources and this explainer video). Qualifications Required: PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field. Strong software engineering in Python (packaging, testing, CI), with systems thinking for data‑intensive ML. Deep learning experience (PyTorch/JAX/TensorFlow) and solid foundations in linear algebra, probability, and statistics. Proven experience designing robust data pipelines for large‑scale ML (HPC or cloud). Ability to reason about learning signal and to assess information content of real‑world scientific datasets. Excellent collaboration and communication in interdisciplinary teams. Preferred: Hands‑on cryo‑EM experience (e.g., map reconstruction, refinement, or pipeline tooling). CUDA or C++ for performance‑critical components; experience with mixed precision and memory‑efficient training. Experience integrating experimental data into ML models (e.g., constraints/priors from cryo‑EM, binding assays, spectroscopy). Familiarity with MD data, structure prediction systems, or protein design work-flows. Experience with cost‑optimization for data collection and cloud utilization; clear track record of building reliable, maintainable research software at scale. Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing) #Research #AI for Science Responsibilities Data integration for structure & dynamics: Build ingestion/curation pipelines for structural/biophysical data (mmCIF/PDB, EM maps/particles, binding/biophysics, spectroscopy); implement map/volume preprocessing (e.g., resolution filtering, normalization) and alignment to model inputs/outputs. Cryo‑EM expertise: Operationalize end‑to‑end flows from raw image stacks/particles to 3D maps and model‑ready tensors; interoperate with community formats (e.g., EMDB/EMPIAR, mmCIF) and link to sequences/annotations. Signal & information content: Design dataset diagnostics (e.g., mutual‑information‑like measures, effective sample size, SNR proxies) to quantify what data teach the model; build active‑learning loops that maximize learning per euro of data collection time. Model‑aware data services: Implement scalable, versioned data services and feature stores that feed training/evaluation; design loaders/augmentations optimized for throughput and correctness (GPU‑aware). Training‑at‑scale engineering: Own distributed data pipelines and orchestration for large runs on Azure; profile and tune I/O, storage tiers, data locality, and caching; monitor cost, utilization, and failure modes. Quality, governance, and reproducibility: Codify schemas/ontologies, metadata contracts, unit/integration tests, and lineage; automate validation and data drift detection; maintain documentation and examples. Partner across disciplines: Work closely with ML researchers, structural biologists, and drug designers; translate experimental constraints into robust computational workflows; communicate clearly and proactively. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations
