Senior Engineer - Machine Learning & AI Enablement

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.

La position At Roche, we advance science so that we all have more time with the people we love. A healthier future. For a world where everyone has access to the healthcare they need today and for the generations to come. For this, we believe the next breakthrough in medicine will be powered by the intersection of computational engineering and biology. We are building the infrastructure that transforms AI from an experimental concept into a reliable, high-impact utility for our researchers. Advances in AI, data, and computational sciences are transforming drug discovery and development.

Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and AI to assist scientists to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE, the Data and Digital Catalyst (DDC) organisation drives the modernization of computational and data ecosystems and integration of digital technologies across Research & Early Development. The AI Enablement Engineering group sits at the heart of this mission. We aren't just training models; we are building scalable systems, data pipelines, and intelligent applications that enable our scientists to work smarter, not harder.

From optimizing model performance to designing end-to-end agentic workflows, our goal is to put powerful AI tools directly into the hands of those driving drug discovery to power data-driven science and accelerate decision making. We are a cross-functional, impact-driven team that values cognitive diversity and technical excellence. Here, you’ll partner with biologists, computational scientists, data experts, and researchers to architect a future where AI/ML is an essential component of every scientific discovery.

If you’re an engineer who thrives on solving complex problems, spans the stack with curiosity, and wants to build tools that truly change lives, we want to hear from you. The Opportunity As a Senior Machine Learning Engineer in AI Enablement, you will lead the architecture and delivery of systems that unlock scientific data across complex workstreams. You will own end-to-end technical execution, setting architectural standards that turn AI into a reliable, high-impact utility for researchers.

Partnering across computational sciences, product leaders, and engineering teams, you will drive technical strategy and take ownership of critical AI/ML products. You will combine engineering rigor with proactive problem solving to guide cross-functional teams and foster technical growth across the organization.

• Lead technical design, architecture, and hands-on implementation of agentic AI solutions and scalable data pipelines to solve complex scientific challenges.
• Drive end-to-end delivery of high-impact products and workstreams, establishing software engineering best practices (testing, CI/CD, documentation) and evaluation standards.
• Shape foundational architecture decisions, champion best practices through code reviews, and proactively resolve technical bottlenecks.
• Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
• Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are
• You lead with technical rigor and ownership: You hold a Master’s degree with 5+ years of professional experience or a PhD with 3+ years in Computer Science or a related field, with a track record of driving complex workstreams and establishing architectural best practices.
• You span the stack: You are comfortable working across the ML lifecycle, from GPU optimization and model performance to backend systems and cloud-native architecture (e.g., Kubernetes, AWS) with solid knowledge of statistics and ML theory as well as AI/ML frameworks, libraries, and toolsets
• You own project delivery and architecture: You excel at delivering AI/ML products, proactively identifying risks, and guiding cross-functional teams (from researchers to DevOps engineers) toward robust, maintainable solutions.
• You are a continuous learner: You approach new frameworks and languages with curiosity. You are as comfortable mentoring others as you are learning from them, and you actively contribute to a culture of collective growth.
• You are an excellent communicator: You excel at translating technical complexity into clear, actionable insights for diverse audiences. You communicate with empathy and precision, ensuring that technical trade-offs are well-understood and that all stakeholders, from research scientists to engineers, feel aligned and heard.
• Experience with biological data (ideally multimodal) and processes is a strong plus.
• Experience working with scientists or in a research environment is advantageous.
• Experience with workflow automation, GenAI, and/or agents is a plus. Qui nous sommes Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial. Construisons ensemble un avenir plus sain. Roche est un employeur offrant l'équité en matière d'emploi.

L’offre est publiée sur le site de Roche Suisse. Ouvrez l’offre originale ↗ pour y déposer votre candidature. Screeningpass ne remplit pas de formulaire à votre place.

Lancez une recherche de contact depuis cette page. Screeningpass vous propose jusqu’à trois personnes liées au poste. Vous choisissez celle à qui écrire, puis Screeningpass cherche son e-mail professionnel et prépare un message. Vous le relisez et l’envoyez vous-même avec Gmail. Une adresse e-mail n’est pas toujours disponible, et une réponse n’est jamais garantie.

Une recherche coûte 1 crédit. Le crédit vous est rendu si la recherche échoue. L’inscription offre 3 crédits, soit 3 recherches.

Screeningpass rassemble des offres de stage, d’alternance et d’emploi publiées par les entreprises. Pour une offre, Screeningpass trouve une personne à contacter dans l’entreprise, cherche son e-mail professionnel et prépare un message à partir de votre CV. Voir le fonctionnement en détail.