AI Engineer

EMBL; Heidelberg; Vor Ort; EUR 41.000 - 49.000; Vollzeit

Benefits dieser Stelle

Salary package

Flexible working

Private medical insurance

30 days leave

Relocation support

Campus life

Family benefits

Visa assistance

Zusammenfassung

EMBL Heidelberg seeks an experienced AI systems engineer to provide shared AI engineering capacity across EMBL research groups, bridging cutting-edge methods with real-world lab and computational workflows.

You will design, deploy ML/DL models, pipelines, and infrastructure, contribute to AI platforms and libraries, and publish code and benchmarks to support open science across sites, including international travel.

Qualifikationen

• Advanced degree required in CS/ML/Math/Computational biology.

Aufgaben

• Provide shared AI engineering capacity to EMBL research groups, bridging AI methods and real-world lab/computational workflows.

Kenntnisse

AI systems design

Lab‑in‑the‑loop

Distributed systems

API design

English comms

Ausbildung

Advanced degree in CS/ML/Math/Computational biology

Tools

Docker

Kubernetes

CI/CD

GPU environments

Model serving frameworks

Observability tooling

MLflow

Weights & Biases

Kubeflow

Jobbeschreibung

Your role

This is a shared resource role with a strong service orientation. You will provide engineering capacity to multiple research groups and teams across EMBL, ensuring that AI methods and infrastructure are accessible, reliable, and fit for scientific purpose. A key aspect of the role is to act as a "lab in the loop" bridging engineer - someone who can work directly alongside experimental and computational scientists to understand their needs, prototype AI-driven solutions, and iteratively develop tools that integrate seamlessly into research workflows.

Your responsibilities include (but are not limited to) the following:

• Provide shared AI engineering capacity to EMBL research groups, acting as a practical bridge between cutting‑edge AI methods and their real‑world application in laboratory and computational settings




• Design, develop, and deploy ML/DL models, pipelines, and infrastructure (including model training, evaluation, versioning, and deployment), ensuring tools are robust, reproducible, and accessible to the scientific community




• Contribute to shared AI platforms, APIs, and software libraries, applying state-of-the-art approaches including large language models, computer vision, and multimodal methods to biological research questions




• Contribute to open science by publishing code, models, and benchmarks, and support knowledge transfer across teams and sites through clear documentation

The role is based at EMBL Heidelberg but will involve interactions with other EMBL sites and some international travel.

You have

• An advanced university degree in computer science, machine learning, mathematics, computational biology, or a related discipline




• Ability to design, own, and evolve complete AI‑enabled systems (from infrastructure and orchestration through model serving, APIs, and user‑facing tools) with strong architectural judgement about automation, human-in-the-loop decisions, and safe AI integration




• Strong systems engineering background, including shell environments, distributed systems, networking, and the ability to debug complex, multi‑component deployments




• Experience with modern infrastructure for AI systems, including Docker, Kubernetes, CI/CD pipelines, GPU environments, model serving frameworks, observability tooling, and scalable deployment




• Experience with large language models, agentic systems, and AI‑assisted software development workflows




• Ability to decompose ambiguous scientific needs into robust, well‑scoped technical components and make sound infrastructure and design choices under uncertainty




• Motivation to build systems that interact with real scientific environments, including laboratories, instruments, data platforms, and research workflows




• A genuine service orientation, i.e. the ability and motivation to work responsively across multiple projects and teams simultaneously, ensuring resulting tools are reliable, usable, maintainable, and scientifically meaningful




• Strong communication skills and the ability to engage effectively with both technical and non‑technical scientific stakeholders




• Fluency in spoken and written English

You might also have

• Experience applying AI to biological or biomedical data (e.g. genomics, protein structure, bioimage analysis, single‑cell data)




• Familiarity with MLOps practices and tools (e.g. MLflow, Weights & Biases, Kubeflow)




• Experience with large language models, multimodal models, or foundation models in a research or applied setting




• Experience with laboratory automation or AI‑driven experimental design




• Knowledge of data management and FAIR data principles in a research context




• Experience contributing to open‑source software projects




• Prior work in an academic, research institute, or international organisation setting




• Proficiency in other languages

Why join us

• The chance to shape a key emerging scientific initiative at EMBL




• Interesting, versatile workplace in an internationally competitive scientific setting




• International, attractive working environment dedicated to open science




• Campus with modern state-of-the-art infrastructure




• Competitive salary




• Possibility to work part‑time, with flexible working hours and work space




• Comprehensive training and development program

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation.

For more details refer to www.embl.org/topics/ai-at-embl/ or contact [e-mail].

Contract length

three years with the possibility of renewal up to nine years

Salary

Grade 5-6 depending on relevant experience (monthly salary starting from €4031,02 before personal pension and insurance contributions, plus additional benefits)

Why join us

EMBL is curiosity-driven, community-oriented and international. As an inclusive, equal opportunity employer, we believe that diversity enables us to collaborate more effectively and be innovative in our approaches. We are, therefore, committed to creating an inclusive and flexible culture – one where everyone can realise their full potential and make a positive contribution to our organisation.

We encourage applications from individuals who can complement our existing team – we believe that success is built on having teams whose backgrounds and personal experiences reflect the diversity of the populations that our science serves. We actively encourage applications from all genders and cultures, ethnic groups and all demographics to help us avoid perpetuating biases and oversights at this transformational point in our people strategy.

Enjoy lots of benefits:

• Financial incentives: Salary free of income tax, Monthly family, child and non‑resident allowances, annual salary review, pension scheme, death benefit, long‑term care, accident‑at‑work and unemployment insurances




• Flexible working arrangements




• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)




• Generous time off: 30 days annual leave per year, in addition to public holidays




• Relocation package including installation grant (if applicable)




• Campus life: Free shuttle bus (Heidelberg), library, subsidised on-site cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)




• Family benefits: Kindergarten (Heidelberg), 10 days of child sick leave, generous paid maternity/parental leave and monthly family & child allowances




• Benefits for international newcomers: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non‑resident allowance.




• For detailed information please visit our employee benefits page here

What else you need to know

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Visit our International Applicants page, to find out more.




• EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here.




• Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.

Closing Date

28/08/2026