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Cupertino
228 jobs found
25.08.2025
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Apple AIML-Software Development Engineer Measurement United States, California, Cupertino
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Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead. Experience in building large scale data processing and distributed systems using...
Description:
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML operations.Architect and implement scalable backend systems that support measurement and inference and optimization efforts, ensuring performance and reliability.Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions.Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.Provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.
- Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
- Experience with cloud platforms such as: AWS, GCP, or Azure
- Experience with SQL / NoSQL databases and embedding data stores
- Proficiency in programming languages such as Python, Java, or Go
- Proven track record of building high-quality, highly scalable backend software systems.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
- Ability to tackle complex challenges, think critically, and deliver innovative solutions.
- Bachelors in Computer Science, engineering, or a related field
- Advance degrees in Computer Science, engineering, or a related field
- Experience with complex multi-sensor perception systems and visualization
- Experience with Machine Learning platforms
- Familiarity with ML tools and frameworks
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple AIML - Engineering Program Manager Developer Tools United States, California, Cupertino
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At least 3-5 years experience in software project/product management. Bachelor's degree in software engineering, computer science, or a related field. Knowledge of software engineering standard methodologies and related dependencies. Strong...
Description:
In this capacity, you will partner with leaders as well as a diverse set of team members to build and deliver AI-powered software initiatives according to Apple’s high standards. You will be responsible for cross-functional alignment, project planning, tracking, execution, and reporting, while also overseeing service qualification, deployment, and operations. You will proactively identify, prioritize, and drive the resolution of program issues by communicating new feature initiatives, top issues, risks, and critical achievements to executive leadership. - Create and maintain detailed project plans, schedule, and status documentation - Bring together and collaborate with cross-functional stakeholder groups. - Serve as a liaison to communicate information regarding requirements, changes, milestones reached, and other pertinent information. - Present and communicate new feature initiatives, top issues, risks, and critical achievements to executive leadership. - Drive focus to critical path deliverables and track execution of dependencies. - Proactively identify risks to software delivery, develop mitigation strategies, and facilitate resolutions.
- At least 3-5 years experience in software project/product management
- Bachelor's degree in software engineering, computer science, or a related field.
- Knowledge of software engineering standard methodologies and related dependencies
- Strong leadership skills including the ability to build positive relationships and influence others
- Excellent spoken and written communication to tailor communication style to multiple audiences
- Organization and multi-tasking skills with phenomenal attention to detail
- Experience shipping ML-powered products
- Thorough understanding of the software development lifecycle
- Knowledge of running a cloud service end to end
- Planning for large-scale projects while acting as central point of contact
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
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1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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24.08.2025
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Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
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1+ years of experience in analytics and/or data science teams. Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and...
Description:
- 1+ years of experience in analytics and/or data science teams
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
- Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
- Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
- 3+ years of experience in analytics and/or data science teams
- Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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02.08.2025
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Apple AIML - Sr Engineering Program Manager ML Compute Infrastruct... United States, California, Cupertino
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5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture. Demonstrated ability to define vision and lead cross-functional execution in highly technical domains. MS/PhD in EE,...
Description:
- As a key EPM of the AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will lead technical evaluations of emerging accelerator technologies (GPUs, TPUs, and custom silicon), balancing power, performance, cost, and compatibility to ensure infrastructure decisions are forward-looking and cost-efficient- Own cross-functional execution of capacity integration efforts — aligning hardware procurement, rack deployment, networking, and software readiness to ensure seamless delivery at scale- Translate ML platform and model training requirements into concrete infrastructure programs, ensuring technical risks are anticipated and mitigated early
- 5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture
- Demonstrated ability to define vision and lead cross-functional execution in highly technical domains
- MS/PhD in EE, CS, Systems Engineering, or equivalent work experience
- Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers
- Strong understanding of large-scale compute architecture and capacity planning for ML workloads
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments
- Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling
- Experience managing data center expansion programs or deploying high-density compute for ML
- Strong competence in price/performance parity analysis for hardware procurement decisions
- Advanced technical degree and/or deep infrastructure consulting background
- Prior experience scaling ML infrastructure in hybrid or on-prem environments
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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02.08.2025
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Apple AIML - Staff Machine Learning Engineer United States, California, Cupertino
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6+ years industry experience in building Machine Learning or ML evaluation systems at scale. Strong software engineering skills in mainstream programming languages, such as: Python, C/C++. Strong communication skills and...
Description:
Role responsibilities include:- Design and implement novel data generation and data quality assessment methods to support modeling and evaluation of personal Q&A.- Build scalable, automated systems for large scale, end-to-end evaluation of models and search powered systems.- Design and implement offline and online metrics to assess product and component level quality for personal Q&A.- Collaborate with partner teams to define data and evaluation requirements and priorities, and to explore opportunities for enhancements to the Personal Q&A stack.- Develop long-term technical vision for Personal Q&A quality; identify problem areas and drive solutions as part of a larger roadmap.
- 6+ years industry experience in building Machine Learning or ML evaluation systems at scale
- Strong software engineering skills in mainstream programming languages, such as: Python, C/C++
- Strong communication skills and ability to drive solutions in collaboration with partner teams
- Bachelors in Computer Science, Engineering, Statistics or related field
- Experience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval
- Experience in data collection, data generation and/or data quality assessment of language, image or multi-modal data
- Ability to quickly prototype ideas and solutions, and perform critical analysis
- Strong skills for quality metrics development; interpretation of evaluations; and presentation to executive audience
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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02.08.2025
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Apple AIML - Sr Machine Learning Engineer Search United States, California, Cupertino
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Bachelors in Computer Science, Machine Learning, or a related field. 5+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems. Strong...
Description:
We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!
This role will have the following responsibilities:
- Bachelors in Computer Science, Machine Learning, or a related field
- 5+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
- Strong programming skills in C/C++ or Python, and experience with ML frameworks
- Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
- Excellent communication and collaboration skills
- Advance degree in Computer Science, Machine Learning, or a related field
- Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc.
- Experience working with transformer-based models (e.g., BERT, T5) in a search context
- Prior industry experience on personal search systems
- Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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These jobs might be a good fit
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Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead. Experience in building large scale data processing and distributed systems using...
Description:
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML operations.Architect and implement scalable backend systems that support measurement and inference and optimization efforts, ensuring performance and reliability.Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions.Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.Provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.
- Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
- Experience with cloud platforms such as: AWS, GCP, or Azure
- Experience with SQL / NoSQL databases and embedding data stores
- Proficiency in programming languages such as Python, Java, or Go
- Proven track record of building high-quality, highly scalable backend software systems.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
- Ability to tackle complex challenges, think critically, and deliver innovative solutions.
- Bachelors in Computer Science, engineering, or a related field
- Advance degrees in Computer Science, engineering, or a related field
- Experience with complex multi-sensor perception systems and visualization
- Experience with Machine Learning platforms
- Familiarity with ML tools and frameworks
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
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