20 publicaciones de empleo destacadas de machine learning engineer en castelldefels, ct (¡Están contratando!)

Founding Machine Learning Engineer
Eira Technology —Barcelona, Barcelona provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Doctorado
- Inglés
- Investigación
Solicitud rápida
Machine Learning Engineer, Personalization
News Corp —Barcelona, Barcelona provincia
- Azure
- Informática
- SQL
- Vacaciones pagadas
- Programa de recomendación
4d
Product Engineer
Eira Technology —Barcelona, Barcelona provincia
- De 50.000 € a 75.000 € al año
- Jornada completa
- Inglés
- Machine learning
- Inteligencia artificial
Solicitud rápida
2h
Senior Big Data Engineer
Eurasia Trips Technology —Barcelona, Barcelona provincia
- 64.000 € al año
- Azure
- Informática
- Java
- Seguro médico privado
- Seguro dental
Solicitud rápida
Senior Software Engineer
Eira Technology —Barcelona, Barcelona provincia
- De 60.000 € a 80.000 € al año
- Jornada completa
- Inglés
- Machine learning
- APIs
Solicitud rápida
2h
DevOps/MLOps Engineer (RE3)
Barcelona Supercomputing Center (BSC) —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
- DevOps
8d
Language Engineer - Native in Danish
M47 —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
AI Engineer
Titan OS —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Máster
- SQL
Solicitud rápida
9d
Senior Product Engineer - Insights
Nory —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Informática
- Oficina
- AWS
- Teletrabajo opcional
Senior Research engineer on Statistical Methods for Analysis and Optimization of embedded Critical Systems (RE3 – T1)
Barcelona Supercomputing Center (BSC) —Barcelona, Barcelona provincia
- Jornada completa
- Doctorado
- Inglés
- Máster
14d
AI Engineer
Darwin AI —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Oficina
- Vacaciones pagadas
Solicitud rápida
Data Science & Engineering Analyst
Zurich Insurance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Informática
- Inglés
- Seguro médico privado
- Seguro de vida
Senior MLOps Engineer
IDT —Barcelona, Barcelona provincia
- Trabajo híbrido
- DevOps
- Inglés
- Machine learning
- Programa de recomendación
Solicitud rápida
HPC Network Engineer
Mirantis —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- AWS
- Machine learning
- Scripting
Solicitud rápida
13d
Lead Data Scientist - BCN/MAD/Munich
ailylabs —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- Machine learning
Solicitud rápida
11d
Data Engineer
Lighthouse Intelligence Ltd. —Barcelona, Barcelona provincia
- Jornada completa
- Hotel
- Machine learning
- Python
Language Engineer - Native in Danish
M47 Labs —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
ML/AI Engineer
Product Madness —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Word
- Azure
- Oficina
AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- AWS
- Machine learning
- Linux
Solicitud rápida
13d
AI Engineer
Initiumsoft —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de machine learning engineer en castelldefels, ct

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Founding Machine Learning Engineer

Eira Technology
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa
De 60.000 € a 100.000 € al año

Cualificaciones

Doctorado
Inglés
Investigación
Machine learning

Descripción completa del empleo

TL;DR

Tolemy is building Orbit, the control panel for the cell: a platform that helps scientists connect experimental data, biological knowledge, and AI models to understand and improve cellular systems.

We’re hiring a Founding Machine Learning Engineer to build the modelling systems behind Orbit. You’ll work on sparse, noisy, high-dimensional biological data, building models that can infer structure, quantify uncertainty, guide experiments, and become useful tools for scientists.

About Tolemy

Biology is becoming programmable, but scientists still lack the tools to understand, predict, and direct how cells behave.

At Tolemy, we’re building Orbit as a control layer for cell function: a platform that connects experimental data, biological knowledge, and AI models to build useful digital representations of cells. Our platform helps scientists move from observation to intervention.

We’re starting in therapeutic development, where better models and better experimental tools can help teams improve cell performance, manufacturing, and the development of life-saving therapies.

The goal is not just to predict what cells will do, but to help scientists understand why they behave the way they do, what to test next, and how to improve them.

If you want to build models and software that change how scientists understand cells, design experiments, and develop life-saving therapies, we’d love to meet you

Company highlights

Recently funded and building fast. We’ve raised our pre-seed round from top European investors and are using it to build a small, exceptional technical team in Barcelona.
A rare technical problem. This is ML for sparse, noisy, expensive-to-generate biological data, coming straight out of our own wet lab and labs of major partners.
Real commercial pull. Orbit is being built around real customer problems, active collaborations, and experimental datasets in advanced therapies and biomanufacturing.
Early enough to shape the foundations. You’ll help define our technical approach, infrastructure, and scientific validation culture from the beginning.
A deeply interdisciplinary team. You’ll work directly with a team across cell biology, systems biology, software, product, and machine learning.

Life at Tolemy

We’re building an in-person team in Barcelona, working together in English. We support relocation and visa sponsorship where needed.

Our values are simple: stay curious, be kind always, and move with purpose. We care about technical depth, but also about how people work together, learn, communicate, and support each other.

We offer competitive salary, meaningful early-employee equity, flexible time off, flexible work-from-home arrangements, a learning and conference budget, high-quality equipment, and practical support to help you make Barcelona home if it’s not already.

Hard Technical Challenges

Orbit sits at the edge of machine learning, biology, and experimental science. Some of the hardest problems you’ll work on include:

Learning from sparse biology. Biological data is noisy, expensive, high-dimensional, and incomplete. How do we learn useful representations of cellular state from limited experimental data?

Building models scientists can trust. Cells contain real biological structure: metabolism, regulation, signalling, transport, and stress responses. How do we combine this knowledge with ML to build models that are predictive and biologically meaningful?

Guiding better experiments. Useful models should help scientists understand uncertainty, compare hypotheses, and decide what to test next. How do we evaluate models when there is no clean benchmark for “understanding a cell”?

What We're Looking For

We're looking for someone with strong machine learning judgment and experience building models for difficult real-world systems.

You should be able to reason from first principles about data, models, compute, uncertainty, validation, and product usefulness. You should also enjoy ambiguity, care about scientific truth, and want to build systems that help users make better decisions.

We care more about depth, judgment, and evidence of exceptional work than credentials.

You may have PhD-level training in machine learning, physics, biology, chemistry, applied mathematics, computational biology, or another systems-oriented discipline.

You should have strong foundations in one or more of: applied mathematics, statistics, optimisation, probabilistic modelling, causal inference, dynamical systems, scientific ML, or related areas.

You may also be an exceptional applied ML engineer without a PhD, with a track record of building models for complex real-world systems.

Experience with biological data is useful, but not required. What matters most is comfort with natural-world systems: messy, noisy, sparse, nonlinear, and only partially observed.

Nice to Have

Experience with mechanistic models, hybrid ML, Bayesian methods, causal inference, dynamical systems, or uncertainty quantification.
Experience designing benchmarks in novel or poorly defined problem spaces.
Experience building models that move from research into production or user-facing workflows.
Publications or open-source work in ML, computational biology, scientific computing, or related areas.
Experience in a high-growth company, deep tech startup, or research-to-production environment.

Job Type: Full-time

Pay: 60,000.00€ - 100,000.00€ per year

Work Location: In person

Solicitud rápida

Refina tu búsqueda

machine learning engineer empleos en castelldefels, ct

Founding Machine Learning Engineer

Machine Learning Engineer, Personalization

Product Engineer

Senior Big Data Engineer

Senior Software Engineer

DevOps/MLOps Engineer (RE3)

Language Engineer - Native in Danish

AI Engineer

Senior Product Engineer - Insights

Senior Research engineer on Statistical Methods for Analysis and Optimization of embedded Critical Systems (RE3 – T1)

AI Engineer

Data Science & Engineering Analyst

Senior MLOps Engineer

HPC Network Engineer

Lead Data Scientist - BCN/MAD/Munich

Data Engineer

Language Engineer - Native in Danish

ML/AI Engineer

AI Infrastructure & Platform Operations Engineer (remote in the EU)

AI Engineer

Quiero recibir la alerta de empleo más reciente de machine learning engineer en castelldefels, ct

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