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Applied Ml Engineer - Localisation & Release Engineering jobs at Apple in Spain, Barcelona
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Spain
Barcelona
13 jobs found
02.08.2025
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Apple Sr QA Engineering Manager Spain, Catalonia, Barcelona
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15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams. Extensive background in driving large automated test...
Description:
- 15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams.
- Extensive background in driving large automated test initiatives, including building strategies for triaging and dash boarding results at scale.
- Extensive experience in creating a shared vision for the team, negotiating with partner teams, seeking alignment & advocating on behalf of quality.
- Strong verbal and written communication skills; Ability to work collaboratively in a team environment.
- Hands-on experience creating end-to-end test plans, executing test suites, managing bug lifecycles & creating test reports.
- Demonstrable ability in creating & maintaining automated frameworks, CI/CD pipelines and coding for test automation.
- Strong analytical and problem-solving skills, with the ability to debug complex issues and communicate findings effectively.
- Excellent attention to detail with the passion to deliver high-quality work on a tight schedule.
- Bachelor's Degree in Computer Science and Engineering or equivalent experience
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01.08.2025
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Apple Machine Learning Engineer Global Siri Spain, Catalonia, Barcelona
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15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams. Extensive background in driving large automated test...
Description:
- 15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams.
- Extensive background in driving large automated test initiatives, including building strategies for triaging and dash boarding results at scale.
- Extensive experience in creating a shared vision for the team, negotiating with partner teams, seeking alignment & advocating on behalf of quality.
- Strong verbal and written communication skills; Ability to work collaboratively in a team environment.
- Hands-on experience creating end-to-end test plans, executing test suites, managing bug lifecycles & creating test reports.
- Demonstrable ability in creating & maintaining automated frameworks, CI/CD pipelines and coding for test automation.
- Strong analytical and problem-solving skills, with the ability to debug complex issues and communicate findings effectively.
- Excellent attention to detail with the passion to deliver high-quality work on a tight schedule.
- Bachelor's Degree in Computer Science and Engineering or equivalent experience
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01.08.2025
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Apple Machine Learning Engineer Global Siri Spain, Catalonia, Barcelona
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Expertise in innovating with LLMs, in-depth knowledge of the latest advancements in the field and a deep understanding of LLM prompting and fine-tuning. Experience with multilingual data, machine translation and...
Description:
In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As an ML engineer, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on ground breaking technology at the intersection of agents & multilinguality- Understand how agentic LLMs learn capabilities across languages- Define and experiment with prompt engineering strategies to target specific internationalization challenges- Independently design and execute modeling experiments to validate training methodologies and model architectures- Develop mechanisms to automate data creation and data filtering across different languages- Devise automated approaches to evaluate the performance of agents across multiple languages
- Expertise in innovating with LLMs, in-depth knowledge of the latest advancements in the field and a deep understanding of LLM prompting and fine-tuning.
- Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages.
- Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX.
- Excellent interpersonal skills; happy to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment.
- MS or PhD or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning or related field
- Experience with or strong interest in agents, tool-use, planning and multi-step reasoning
- Experience with RAG, LLM Reasoning and LLM Agent and/or Machine Translation.
- Experience shipping production grade ML or DL based applications.
- Optionally experience with building on-device software and models.
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14.07.2025
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Apple AIML - Machine Learning Engineer Model Evaluations Spain, Catalonia, Barcelona
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MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis...
Description:
Apple Intelligence is driven by intentional data design—spanning careful sampling, creation, and curation of high-quality datasets, enriched with precise annotations. Our data powers our ability to evaluate and mitigate safety risks in new generative AI features. This role sits at the intersection of applied data science, empirical analysis, cultural and linguistic expertise, and stakeholder communication. It requires strong scientific judgment, cross-functional collaboration, and the ability to translate evaluation findings into actionable insights.- Develop metrics for evaluation of safety and fairness risks inherent to generative models and Gen-AI features- Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods- Partner with policy teams to translate regional safety and inclusivity requirements into measurable evaluation criteria- Build expertise in machine translation and data synthesis techniques to generate localized and culturally aligned evaluation datasets at scale- Work with highly-sensitive content with exposure to offensive and controversial content
- MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis + at least 4 years of relevant work experience, or BA/BS with 8+ years of relevant work experience
- Experience collecting and analyzing language data, image data, and/or multi-modal data
- Strong experience designing human annotation projects, writing guidelines, and dealing with highly multi-labeled, nuanced, and often conflicting data
- Proficiency in data science, machine learning, analytics, and programming with Python & Pandas; strong experience with one or more plotting & visualization libraries
- Excellent interpersonal skills, with a proven ability to synthesize complex findings and present evaluation outcomes to senior leadership and executives
- Strong skills for rigorous model quality metrics development; interpretation of experiments and evaluations; and presentation to executives
- Deep cultural awareness and understanding of regional norms, values, and sensitivities, with the ability to translate this knowledge into actionable evaluation strategies
- Experience in localization, internationalization, or building/evaluating machine learning systems for global markets, with a focus on linguistic and cultural adaptation
- Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
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13.07.2025
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Apple ML & Search Engineer Global Siri Spain, Catalonia, Barcelona
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Expertise in search systems and related technologies including indexing, retrieval and ranking. Proficiency on software engineering best practices, design and comfortable working in modern cloud container based stacks. Experience shipping...
Description:
The Global Product Experience team creates groundbreaking user experiences across Siri markets using natural language processing (NLP) and machine learning (ML). The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices. As part of this group, you will work in one of the most exciting environments with state-of-the-art ML and NLP models applied to production problems. We build ML technologies that scale to all Siri languages. You will have the opportunity to innovate with multilingual NLP models to help Siri understand different languages and user queries better.
In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As an ML & search engineer, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages - with a special focus on Search and Question Answering systems across Apple products. You will work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on cutting-edge technology at the intersection of agents & multilinguality - Scale search and search-based systems across languages- Build and automate evaluation of LLM based information retrieval- Develop mechanisms to automate data creation and data filtering across different languages - Find innovative solutions to scale fine-tuning approaches to multiple languages
- Expertise in search systems and related technologies including indexing, retrieval and ranking.
- Proficiency on software engineering best practices, design and comfortable working in modern cloud container based stacks.
- Experience shipping production grade ML or DL based applications, including proficiency on Python and modern ML frameworks such as TensorFlow, PyTorch or JAX.
- Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages.
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Excellent interpersonal skills; able to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment.
- Experience with or strong interest in agents, tool-use, planning and multi-step reasoning
- Experience with RAG, LLM Reasoning, and LLM Agent and/or Machine Translation.
- Optionally experience with LLM reinforcement learning techniques.
- Optionally experience with building on-device software and models.
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08.06.2025
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Apple Engineering Program Manager AI/ML - Apple Services ASE Spain, Catalonia, Barcelona
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Experience leading full project lifecycles with deep understanding of SDLC, release planning, and Agile and Waterfall methodologies. Proven success managing complex, cross-functional programs across multiple concurrent releases. Builds strong, collaborative...
Description:
We’re seeking a senior Engineering Program Manager who thrives on delivering innovative, customer-facing products at scale. This role requires strong execution, adaptability in fast-paced environments, and outstanding interpersonal and organizational skills.
At Apple, successful EPMs don’t just lead tasks, they deliver outcomes. As an Engineering Project Manager, you’ll lead complex software development initiatives from concept to launch. This hands-on role demands technical depth, strategic thinking, and project leadership to ensure alignment with goals, timelines, and budgets.You’ll be deeply involved in product definition and requirements, driving feature development strategy, fostering cross-functional collaboration, and focusing on people to achieve results. Your responsibilities will span the full program lifecycle, from requirements gathering and technical design discussions to partner coordination, proof-of-concepts, testing, and launch readiness.Key Responsibilities: * Drive end-to-end execution of software development projects, ensuring feasibility, alignment with business goals, and timely delivery.* Develop and maintain detailed project plans, including scope, schedules, resources, budgets, and risk mitigation.* Lead cross-functional collaboration with Design, Engineering, QA, Legal, Privacy, Finance, Product, and Business Operations teams.* Facilitate Agile ceremonies such as sprint planning to ensure effective workload distribution and delivery cadence.* Monitor project progress, proactively identify risks, and implement mitigation strategies.* Provide regular project updates to leadership and stakeholders, ensuring transparency and alignment.* Promote continuous improvement in team performance and delivery processes.* Foster a collaborative, innovative environment that encourages problem-solving and shared ownership.* Manage stakeholder expectations and champion customer experience throughout the project lifecycle.
- Experience leading full project lifecycles with deep understanding of SDLC, release planning, and Agile and Waterfall methodologies.
- Proven success managing complex, cross-functional programs across multiple concurrent releases.
- Builds strong, collaborative partnerships with product and engineering teams; skilled at translating user needs into clear, actionable engineering requirements.
- Track record of driving team performance, delivery quality, and cross-functional alignment.
- Hands-on experience managing tickets and issue workflows in tools such as JIRA or similar systems. Able to track, prioritize, and maintain task-level visibility across engineering and QA.
- Thrives in fast-paced environments with a strong focus on execution and outcomes.
- Exceptionally organized with excellent time management, problem-solving, and reporting skills.
- Outstanding communication skills; comfortable engaging with executives and technical teams alike.
- Experience working in multinational or distributed teams, especially across Europe and the U.S.
- Experience in machine learning and/or generative AI (GenAI) product development.
- BS in Computer Engineering, Computer Science, or equivalent professional experience.
- Fluency in Spanish (written and spoken) is a plus.
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17.05.2025
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Apple Enterprise Network Quality Engineer Spain, Catalonia, Barcelona
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The successful candidate will have the following:. Degree or equivalent experience in relevant IT discipline. CCNA / CCNP / DEVASC / CWNA. A background or understanding of network support, operational...
Description:
As an Enterprise Network Quality Engineer you will be responsible for:
- The successful candidate will have the following:
- Degree or equivalent experience in relevant IT discipline.
- CCNA / CCNP / DEVASC / CWNA.
- A background or understanding of network support, operational experience in implementation, and running of global multi-site network environments. Knowledge of multi-vendor WAN, LAN, Internet, VPN remote access, and Firewall technology experience.
- Experience with Cisco, Arista, and Palo Alto wired, wireless and firewall product portfolios
- Clear communication skills, both written and oral, deliverable to peer and management level experience.
- Virtualisation of networking infrastructure (Virtual routers, switches, firewalls, and cloud based solutions).
- Exceptional documentation skills, ability to develop Proof of Concept plans and results.
- Acute attention to detail
- Ideally you would also have experience with: Monitoring tool knowledge, Ticket management systems, Change management process, Flexible working, Self-motivating, Scripting, Network automation. Fluency in Spanish and English preferred.
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15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams. Extensive background in driving large automated test...
Description:
- 15+ years of experience in testing & releasing high quality customer facing products, with at least 8 years managing high performing QA teams.
- Extensive background in driving large automated test initiatives, including building strategies for triaging and dash boarding results at scale.
- Extensive experience in creating a shared vision for the team, negotiating with partner teams, seeking alignment & advocating on behalf of quality.
- Strong verbal and written communication skills; Ability to work collaboratively in a team environment.
- Hands-on experience creating end-to-end test plans, executing test suites, managing bug lifecycles & creating test reports.
- Demonstrable ability in creating & maintaining automated frameworks, CI/CD pipelines and coding for test automation.
- Strong analytical and problem-solving skills, with the ability to debug complex issues and communicate findings effectively.
- Excellent attention to detail with the passion to deliver high-quality work on a tight schedule.
- Bachelor's Degree in Computer Science and Engineering or equivalent experience
Show more
These jobs might be a good fit
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