AI & Machine Learning jobs in Lausanne

Audio Machine Learning Data Engineer

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Role and Team:As an Audio Machine Learning Data Engineer on the Logitech Hardware Audio Machine Learning and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers. Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Data Pipeline Management: Ensuring the integrity and quality of Audio Machine Learning data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised Machine Learning audio applications.Model Development and Deployment: Collaborating with the team to develop and deploy Audio Machine Learning models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelinesEvaluate and implement scalable data augmentation techniques.Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio Machine Learning models.Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.Formulate and execute strategies for continuous improvement of existing datasets.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques audio Machine Learning.Python Proficiency: Strong proficiency in Python for both Machine Learning model development and automating data pipelines.Data Pipelines and Machine Learning Frameworks: Proven expertise in building scalable data pipelines and expertise in employing Machine Learning frameworks (TensorFlow, Keras) with large-scale, complex datasetsPreferred Qualifications:Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in managing data-driven objective and subjective evaluations.A strong data-first mindset, with a demonstrated ability to drive innovation both independently and as part of a team.Proficiency in C and SQL, along with experience using code version control systems (Git), is a valuable asset.Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline.Equivalent practical experience in professional audio Machine Learning and data engineering considered; advanced/relevant continuing education preferred.#LI-RD1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

Senior CAE and AI Expert

About the RoleNeural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers.As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results.What You Will DoOwn vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success.Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab.Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries.Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities.Who You Are5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environmentsDeep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plotStrong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteriaDemonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration)Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → VisualizationScripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus.Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiencesProficiency in both written and spoken English, with the ability to articulate technical complexity with clarity.Nice to HaveFamiliarity with AI-assisted simulation acceleration, design optimisation, or parametric study automationComfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scriptsMaster HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance.What You GetCompetitive salary and benefitsTraining budget — we believe continuous education is essential for you and for us.Work directly with a world-class engineering team that sets high standards and means it.Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised.Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably.Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads.Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Medical AI Data Engineer

Salary: CHF 85'000 - 95'000 per year Requirements: Hands-on experience building production RAG pipelines and agentic AI workflows applied to clinical data querying.Practical experience integrating a broad range of clinical ontologies and vocabularies into a query or data harmonization system, including but not limited to SNOMED CT, ATC, RxNorm, ICD-10, LOINC, and OMOP standard vocabularies.Hands-on implementation experience managing concept mappings, hierarchies, and cross-ontology relationships.Solid Go development experience, including API design and data pipeline construction.React development experience, including component design and building secure, clinical-facing user interfaces.Strong SQL expertise: writing and optimizing complex queries and investigating, monitoring, and troubleshooting the performance of production databases such as PostgreSQL and Oracle. Responsibilities: Design, develop, and maintain AI agents leveraging RAG and autonomous AI agents, enabling clinical researchers to query sensitive federated datasets using natural language.Build and iterate on an interoperable query language to SQL generation pipeline, including schema-awareness layers and query validation tailored to complex clinical data models.Implement and maintain data harmonization pipelines conforming to the OMOP Common Data Model and HL7 FHIR standard, enabling interoperability across heterogeneous clinical datasets from multiple institutions.Integrate and maintain medical ontology mappings across ICD-10, SNOMED CT, ATC, and RxNorm to ensure semantic consistency in federated patient data queries.Develop and maintain full-stack platform features: from backend services, APIs, and query orchestration pipelines through to user-facing interfaces for clinical researchers and data scientists. Technologies: Agentic AIAIAI AgentsAPIBackendHL7OraclePostgreSQLRAGReactSQLSecurityFrontendLLM More: Tune Insight SAEPFL Innovation ParkBâtiment C1015 LausanneSwitzerlandMedical AI Data Engineer @ Tune Insight, Lausanne, Switzerland (On-site/Hybrid)About UsTune Insights vision is to replace the data economy with an insight economy without compromising security and privacy. Raw sensitive data doesnt move and is never revealed, enabling companies to collaborate and valorize their data and models while keeping control of their value. Tune Insights B2B encrypted computing platform is dedicated to clinical and pharmaceutical research, bridging the gap between patient data and life science breakthroughs.The RoleWe are looking for an AI Data Engineer with solid engineering skills and a thorough understanding of medical questions. This role sits at the intersection of applied AI engineering, healthcare informatics, and full-stack software development. The ideal candidate will have directly contributed to query systems over federated health data, and will bring deep, hands-on familiarity with international medical interoperability standards and ontologies — not as theoretical knowledge, but as implemented, production experience.Why Join Us?- Meaningful Work: Your contribution to the infrastructure enables secure access to insights of patient data and enables life-saving research.- Lausanne Hub: Work in the center of Europes Health Valley.- Impact: In a team of <20, you arent just a ticket-solver. You are building the foundation the company stands on.- Challenging Problems: If you enjoy working at the boundary of AI, regulated health data, and distributed systems, you will not run out of hard problems here.This role is right for you if you:- Thrive working across the full stack: from ontology mappings and data models to APIs to user interfaces- 0-2 years working within a privacy-preserving or federated health data environment.- Have a strong instinct for data quality and semantic correctness, especially in a clinical or medical context- Appreciate challenging yourself out of your comfort zone and enjoy change.- Are comfortable taking responsibility and being accountable for outcomes.- Stay humble and open to feedback, especially when working with world-class experts. last updated 44 week of 2026