20 publicaciones de empleo destacadas en full stack engineer (java) (¡Están contratando!)

Machine Learning Tools Engineer, Global Siri
Apple —Barcelona, Barcelona provincia
- Doctorado
- Informática
- Investigación
Full Stack Engineer (Senior)
Xe —Alcobendas, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Java
- SQL
- AWS
Solicitud rápida
7d
AI Full Stack Software Engineer
IQVIA —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Senior Full Stack Developer
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Java
- Máster
- Plan de pensiones
FullStack Software Engineer (React and Spring Boot)
UST —Madrid, Madrid provincia
- Trabajo híbrido
- Oracle
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
2d
MES Engineer
QUARIQ —Barcelona, Barcelona provincia
- Trabajo híbrido
- Informática
- Sistemas ERP
- Inglés
Solicitud rápida
Senior Java Software Development XVS
Ingram Micro —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
Senior Fullstack Engineer (Java/kotlin + React)
Parser Limited —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Typescript Engineer (OOP/React/Three.js)
Materialise —Barcelona, Barcelona provincia
- Jornada completa
- Inglés
- Java
- JavaScript
Senior Full Stack Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Oracle
- Informática
- DevOps
- Vacaciones pagadas
- Programa de recomendación
Full Stack Senior Developer (AI‑Native)
Talan —Málaga, Málaga provincia
- Jornada completa
- Oracle
- Java
- SQL
- Seguro de vida
Solicitud rápida
8d
Android Software Engineer – Accommodation (Hybrid)
eDreams ODIGEO —Barcelona, Barcelona provincia
- Jornada completa
- Inglés
- Oficina
- Java
MES Engineer
AG SOLUTION —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Sistemas ERP
- Inglés
All-Stack Engineer, Connect
Chess.com —En remoto
- Jornada completa
- Teletrabajo
- Java
- Inteligencia artificial
Solicitud rápida
1d
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Investigación
- Java
- AWS
- Seguro oftalmológico
Solicitud rápida
Head of Software Development (m/w/d)
CompuGroup Medical —María, Almería provincia
- Jornada completa
- Azure
- Informática
- DevOps
DevOps Platform Engineer
Accenture —Sevilla, Sevilla provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro de vida
Full Stack Developer (Backend Focus)
TMC —Madrid, Madrid provincia
- Java
- Desarrollo de software
- Inteligencia artificial
Senior Full Stack Developer (AI-Native)
Neoris —En remoto
- Teletrabajo
- Oracle
- DevOps
- Java
- Formación continua
- Teletrabajo opcional
7d
Application Security Engineer
Flywire —Valencia, Valencia provincia
- Jornada completa
- Trabajo híbrido
- Investigación
- Oficina
- Java
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de full stack engineer (java)

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Machine Learning Tools Engineer, Global Siri

Apple -
Barcelona, Barcelona provincia

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Detalles del empleo

Cualificaciones

TensorFlow
Derecho
Doctorado
Informática
Desarollador iOS
Objective-C
Investigación
Java
Máster
Bash
C++
Grado
Machine learning
Deep learning
NLP
Scripting
Ruby
Swift
Python
Shell Scripting

Descripción completa del empleo

Join the Siri team at Apple! Build and contribute to a team and company that is building products, personal devices, and software designed to enrich people’s lives. Work on building and advancing the world’s most popular intelligent assistant that helps millions of people get things done - just by asking! Global Siri works to take Siri to the next level of intelligence and capabilities in all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple.. On the Global Scaling, Data, and Tools team, we work on ML modeling and algorithms, data platforms and technologies and end-to-end ML product engineering to surprise and delight customers around the world in the languages that they speak.

Description
We are looking for a Machine Learning Tools Engineer who is passionate about collaborating across teams in Siri and Apple. Expect to design, build, and deploy extraordinary machine learning systems that help Siri best serve the needs of our users. You'll create and improve the accuracy and capability of Global Siri’s models and systems. We are interested in “full-stack” machine learning engineers with strong experience in software engineering, research, and leadership potential. Are you passionate about building outstanding products at the intersection of Machine Learning and Software Engineering? The ideal candidate has expertise in building scalable LLM-powered solutions, machine learning lifecycle management, data generation methods, model training, and evaluation. As well as possessing strong fundamentals and a passion for software engineering and system design. It is important to be able to dive into the latest academic/research advancement in ML, LLMs and NLP. As well as the ability to communicate complex technical ideas to diverse audiences, including research scientists, data scientists, engineers, designers, managers, and other partners across Siri and Apple.

Preferred Qualifications
Experience in data science and analytics, including data annotation, statistical analyses, A/B testing, and/or conducting experiments and investigations in large-scale usage data environments

Self-starter with the ability to balance multiple projects

Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit)

Experience in localization, internationalization, machine translation, or language technologies is a great plus

Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or related fields; outstanding candidates with Bachelor's degrees or equivalent experience and multiple years of significant engineering/product experience will also be considered

Minimum Qualifications
Proven experience developing, shipping, and measuring industry-scale machine learning-based software systems; experience working on large-scale LLM or NLU systems.

Expertise and experience in LLMs or other foundation models, ideally demonstrated through publications or shipping tools, foundation model-based features, and products.

Excellent software engineering skills: Proficiency in at least one object-oriented language (e.g. Java, C++, Objective-C, or Swift), scripting languages (e.g. Python, Ruby, bash), and deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, or CoreML)

Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and cross-functional partners

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