ML Engineer
Cervest
Software Engineering, Data Science
Our mission
Climate change is causing deep uncertainty at all levels of society, with climate volatility reducing the security of all land-based assets and posing a multi-level security threat for the functioning of enterprises, societies, and governments.
Mitiga is a spinoff of the Barcelona Supercomputing Center, which hosts MareNostrum, one of the most powerful supercomputers in Europe.
Mitiga's mission is firmly rooted in employing cutting-edge science and technology to mitigate the multifaceted risks posed by climate-driven perils. Our approach spans a spectrum of temporal scales, from real-time and annual forecasts to projections spanning the next century. This comprehensive perspective on risk, coupled with our capacity to transfer risks to capital markets via catastrophe bonds, positions us to significantly contribute to enhanced climate mitigation, resilience, and equity.
And we need you.
Who you are
We are looking for a mid-level to senior Machine Learning Engineer to design, build, and evolve our machine learning systems from research to production. You will work on both new and existing models, define your own technical approaches, and help shape how we develop, train, and deploy deep learning models at scale. This is a hands-on role with real influence on architecture, tooling, and best practices.
You will collaborate closely with data scientists and climate experts, but your focus will be on building solid, reproducible, and maintainable ML pipelines that run in production.
What you’ll do
- Design, optimize, and maintain deep learning pipelines for training and inference
- Productionize research models into reliable services and batch workflows
- Migrate and run workloads on cloud infrastructure (AWS / Azure, GPUs, containers)
- Build reproducible ML workflows (data versioning, experiments, model tracking)
- Work with large datasets (including geospatial and climate data) and define efficient data formats
- Contribute to engineering best practices: code quality, testing, CI/CD, documentation.
- Collaborate with data scientists, climate experts, and platform engineers
- Design new modeling approaches and pipelines, not just adapt existing ones
- Improve data preprocessing, feature generation, and dataset management for deep learning use cases.
Requirements
- 5+ years of experience in machine learning / deep learning or similar roles
- Strong Python skills and experience with PyTorch and/or TensorFlow
- Solid software engineering fundamentals (Git, modular design, testing, code reviews)
- Experience deploying ML workloads on cloud infrastructure (AWS and/or Azure)
- Experience working with large-scale datasets and data pipelines
- Comfortable working in a fast-paced, research-meets-production environment
- Strong problem-solving skills and ownership mindset
Nice to Have
- Previous experience with remote sensing, satellite data, or geospatial datasets
- Experience with Docker, Kubernetes, or workflow orchestration tools
- Familiarity with scientific or environmental datasets
- Background in climate, earth sciences, or environmental modeling
Why Join
- Work on meaningful climate-related problems with real-world impact
- High autonomy and technical ownership
- Opportunity to design systems from scratch and influence core architecture
- Collaborative and low-bureaucracy engineering culture
- Flexible working setup and competitive compensation
Diversity
A recent study shows that one in every 10 tech workers in Spain are women. Only 8% of all contracts in 2019 with people with disabilities were in technology and science. Meanwhile, 30% of LGTBIQ people in Spain do not come out in the workplace for fear of discrimination.
This is neither the world we want to live in nor the workplace we’re building.
Mitiga is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
In fact, we strongly encourage applicants from minority groups to apply.
Our offer
Our vision is to be the place where a diverse mix of talented people want to come, to stay and do their best work. Some of our benefits, like unlimited personal time or flexible working arrangements, help work adjust to your life – and not the other way around. You can work from home or come twice a week to our office. Dogs and other furry friends are welcome!
Our compressed work schedule allows you to work half a day on Fridays during the year (so you can start the weekend early). During the summer, it also allows you to work 4 days a week, so you spend time with your loved ones (or work on your tan). Shadow our leadership and participate in our structured feedback and mentorship programs. If you grow, we grow.
Why work at Mitiga Solutions?
Purpose-driven impact. Your work will help shape resilience strategies for communities and critical infrastructure. From wildfires to windstorms, our models support decisions that matter.
Collaborative & inclusive culture. Work in multidisciplinary teams where transparency, rigour, and shared ownership are valued. Diverse perspectives are not only welcome, they are necessary.
Flexible working. Our hybrid model supports deep focus and balance. Enjoy compressed Fridays, 4-day summer weeks, your birthday off, and competitive compensation.
State-of-the-art technology. We combine high-performance computing, proprietary modelling platforms, and machine learning to deliver accurate, high-resolution climate risk forecasts.
Flexible remuneration via Cobee. Get a monthly allowance for meals and maximize your salary with significant tax savings on transportation, learning, and more.