Empleos actuales relacionados con Machine Learning Engineer - Madrid, Madrid - Multiverse Computing

  • Machine Learning Engineer

    hace 2 semanas

    Madrid, Madrid, España QUANT AI Lab A tiempo completo

    EnQUANT AI LABseguimos creciendo para diseñar y desarrollar las soluciones de inteligencia artificial y analítica avanzada más innovadoras del mercado. Formar parte de nuestro equipo significa integrarte en un proyecto ambicioso, donde cada profesional es clave para impulsar la creación de productos tecnológicos de vanguardia. Estamos ampliando nuestra...

  • Machine Learning Engineer Senior Architect

    hace 1 semana

    Madrid, Madrid, España SDG Group A tiempo completo

    Machine Learning Engineer (Senior / Architect)La posición abierta es para la incorporación a la Práctica de Data Technologies: departamento de SDG integrado por equipos de especialistas, que promueve la excelencia técnica en la compañía. Se trata de una práctica transversal que da servicio al resto de prácticas y equipos que conforman SDG. Data...

  • IT Machine Learning Engineer

    hace 1 semana

    Madrid, Madrid, España Domain nicht eingerichtet A tiempo completo

    Job ID: |  Location: Barcelona, Barcelona, SpainThe Machine learning engineer acts as critical members of the IT data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.ResponsibilitiesIdentify, design,...

  • Machine Learning Engineers

    hace 4 días

    Madrid, Madrid, España CHEP A tiempo completo

    CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more...

  • Senior Machine Learning Engineer

    hace 1 semana

    Madrid, Madrid, España Ultra Tendency A tiempo completo

    Our Engineering community is growing, and we're now looking for a Senior ML Engineer - Databricks, to join our team in Spain, supporting our global growth. As a Senior Machine Learning Engineer, you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML...

  • Senior Machine Learning Engineer

    hace 1 semana

    Madrid, Madrid, España Ultra Tendency A tiempo completo

    Our Engineering community is growing, and we're now looking for a Senior ML Engineer - Databricks, to join our team in Spain, supporting our global growth.As aSenior Machine Learning Engineer, you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML...

  • Senior Machine Learning Engineer: Ranking

    hace 10 horas

    Madrid, Madrid, España Constructor A tiempo completo

    About UsConstructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself...

  • Machine Learning Expert

    hace 6 días

    Madrid, Madrid, España Odixcity Consulting A tiempo completo

    The Role:Design, implement, and deploy machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven applications.Work with large, complex datasets to perform data cleaning, feature engineering, and transformation for model training.Develop end-to-end ML pipelines, from data ingestion to model deployment and...

  • DATA SCIENTIST AND MACHINE LEARNING RESEARCHER

    hace 9 horas

    Madrid, Madrid, España Eurecat A tiempo completo

    EURECATEurecat es el segundo centro tecnológico de España y una de las organizaciones de investigación aplicada y transferencia tecnológica más grande del sur de Europa. Aglutina la experiencia de más de 800 profesionales que generan un volumen de ingresos de 69 millones de euros anuales y presta servicio a cerca de 2.000 empresas. I+D aplicado,...

  • Machine Learning Engineer II

    hace 1 semana

    Madrid, Madrid, España Fortra A tiempo completo

    Whether you're an experienced professional or just getting started, your contributions matter at Fortra. If you're passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and...

Machine Learning Engineer

hace 2 semanas

Madrid, Madrid, España Multiverse Computing A tiempo completo

We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.

Why join us?

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.

Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a "quantum-AI unicorn in the making."

We offer

  • Competitive annual salary starting from €45,000, based on experience and qualifications.

  • Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.

  • Relocation package (if applicable).

  • Up to 9-month contract, ending on June 2026.

  • Hybrid role and flexible working hours.

  • Be part of a fast-scaling Series B company at the forefront of deep tech.

  • Equal pay guaranteed.

  • International exposure in a multicultural, cutting-edge environment.

As a Machine Learning Engineer you will

  • Build data and model pipelines end‑to‑end: create, source, augment, and validate datasets; stand up training/fine‑tuning/evaluation flows; and ship models that meet product and customer requirements.

  • Design rigorous evaluation frameworks to verify task competence and alignment; implement statistical testing, reliability checks, and continuous evaluation.

  • Scale training and inference: make effective use of distributed compute, optimize throughput/latency, and identify opportunities for algorithmic or systems‑level speedups.

  • Improve models post‑training: apply SFT and preference‑based or reinforcement learning methods to enhance helpfulness, safety, and reasoning.

  • Optimize and specialize models: apply compression techniques to meet performance and footprint targets.

  • Collaborate across research and engineering: partner with ML engineers, researchers, and software engineers on data curation, evaluation design, training runs, model serving, and observability.

  • Contribute to our shared codebase: write clean, well‑tested Python; document decisions and artifacts; uphold engineering standards.

Required Qualifications

  • This role requires a Bachelor's degree in Computer Science, Math, Physics, Physics, Data Science, Operations Research, or related field.

  • Strong programming skills in Python and the modern ML stack (e.g., PyTorch), plus fluency with data tooling (NumPy/Pandas) and basic software practices (git, unit tests, CI).

  • Solid grounding in language modelling concepts around training, evaluation, model architecture, and data.

  • Comfort working with datasets at scale: collection, cleaning, filtering, labelling/annotation strategies, and quality controls.

  • Experience using GPU resources and familiarity with containerized workflows (e.g., Docker) and job schedulers or cloud orchestration.

  • Ability to read research papers, prototype ideas quickly, and turn them into reproducible, production‑ready code.

  • Clear, pragmatic communication and a collaborative mindset.

Preferred Qualifications

  • PhD in Computer Science, Math, Physics, Data Science, Operations Research, or related field, or equivalent industry experience in machine learning, data science, or related roles, with demonstrated experience with NLP or LLMs.

  • Experience building foundational LLMs from the ground up

Preferred qualifications by focus area:

  • Model Evaluation: track record building task‑grounded evals for LLMs, implementing or extending evaluation harnesses, and generating synthetic data for both evaluation and training; deep understanding of LLM quirks and their ties to architecture and training dynamics.

  • Distributed Training: Hands‑on experience debugging multi‑node training, profiling/optimizing throughput and memory, and extending training frameworks like to new architectures or optimizers; comfort diagnosing flaky cluster issues.

  • Model Compression: Strong mathematical background and experience with pruning, quantization, and NAS; ability to formulate and solve constrained optimization problems for accuracy/latency/footprint trade‑offs and to integrate results into production.

  • Post‑Training: Theoretical and practical familiarity with post-training and alignment techniques; experience with SFT and preference/RL‑based methods (e.g., DPO/GRPO, RLHF).

About Multiverse Computing

Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.

Our flagship products address critical industry needs:

CompactifAI

  • a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.

Singularity

  • a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.

You'll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.