Lead Machine Learning Engineer & Lead Systems AI Engineer — ETH Zürich
NewCHF 68'000 - 103'000
ETH Zürich · Zurich (ZH)
- Location
- Zurich
- Contract
- fixed-term
- Posted
- Yesterday
SalaryCHF 68'000 - 103'000
Role overview
Lead Machine Learning Engineer & Lead Systems AI Engineer 60%-100%, Zurich, fixed-term print Drucken The ETH Zürich Geothermal Energy & Geofluids (GEG) Group investigates subsurface reactive fluid and geothermal energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses.
Our aim is to gain fundamental insights and to develop sustainable technologies to address societal needs.
Subsurface fluid injection or extraction induces changes in geologic reservoir properties due to thermo-hydro-mechanical-chemical-biological (THMCB) coupled processes.
- Lead Machine Learning Engineer & Lead Systems AI Engineer 60%-100%, Zurich, fixed-term print Drucken The ETH Zürich Geothermal Energy & Geofluids (GEG) Group investigates subsurface reactive fluid and geothermal energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses.
- Our aim is to gain fundamental insights and to develop sustainable technologies to address societal needs.
Application process
- We are looking for applicants with a strong background in agentic AI, cloud architecture and software engineering, data engineering and governance, AI and machine learning applications. Job description
- Agentic AI — Design, build and operate production-grade AI agent systems, covering the full lifecycle from cognitive architecture through observability, telemetry and rigorous testing and evaluation protocols.
- Cloud architecture & software engineering — Conceive, build and operate complex, scalable cloud architectures composed of distributed services and microservices.
- Drive enterprise-grade software development and take responsibility for the full
- Software Development Lifecycle (SDLC), from architectural design through deployment and operation.
- Data engineering & governance — Design and operate end-to-end data pipelines and data products for structured and unstructured data, including geospatial data where relevant.
- Establish and maintain solid data governance standards to ensure quality, security and compliance across the data landscape.
- AI & machine learning applications — Apply machine learning and AI methods to real-world problems and bring them from prototype into reliable production use.
Company and context
- Profile You are a lead engineer who combines a strong scientific foundation with substantial hands-on experience in AI, data, and cloud engineering, and who is ready to take both technical and organizational ownership of complex initiatives. The successful candidate brings:
- A Master's degree or PhD in (Geo-)Physics, Mathematics, Computer Science or a closely related quantitative discipline
- 5+ years of professional experience in software engineering, data engineering or a comparable technical role
- Proven experience in technical and people leadership , including guiding engineers, setting architectural direction, establishing engineering standards and mentoring team members
- Solid project management skills, including roadmap design, budget responsibility and the orchestration of cross-functional collaboration across mu
Additional details
- We are looking for applicants with a strong background in agentic AI, cloud architecture and software engineering, data engineering and governance, AI and machine learning applications.
- Profile You are a lead engineer who combines a strong scientific foundation with substantial hands-on experience in AI, data, and cloud engineering, and who is ready to take both technical and organizational ownership of complex initiatives. The successful candidate brings:
Notes and original content
- Job description
- Profile You are a lead engineer who combines a strong scientific foundation with substantial hands-on experience in AI, data, and cloud engineering, and who is ready to take both technical and organizational ownership of complex initiatives.
- The successful candidate brings:
