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Computational Support Machine Learning Transformers jobs at Apple in United States, Cupertino
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217 jobs found
25.08.2025
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Apple Senior Machine Learning Systems Engineer United States, California, Cupertino
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5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems. Strong understanding in data centric systems, distributed systems, reliability, and cloud services. Hands-on...
Description:
In this role, you will be responsible for engineering solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
- 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
- Strong understanding in data centric systems, distributed systems, reliability, and cloud services.
- Hands-on experience in designing and coding large scale systems.
- Proven experience with applied machine learning, data engineering, or similar.
- MS in Computer Science or related experience.
- Experience with developer tools or developer productivity systems.
- Experience with open source or inner source
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 Computational Designers Industrial Design Group United States, California, Cupertino
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Demonstrated understanding of computational and parametric design principles. Proficiency in Grasshopper and Rhino; experience with Python, C#, or other scripting languages is a plus. Excellent problem-solving skills with the perseverance...
Description:
The role involves bridging aesthetics, engineering, and human-centered insights through algorithmic modeling and data-driven design strategies. You will integrate large datasets — such as biomechanics research or advanced manufacturing constraints — into functional, elegant design solutions. We value the ability to explore, iterate, and communicate clearly with cross functional teams. We encourage candidates of all experience levels to apply.
- Demonstrated understanding of computational and parametric design principles.
- Proficiency in Grasshopper and Rhino; experience with Python, C#, or other scripting languages is a plus.
- Excellent problem-solving skills with the perseverance to tackle open-ended, ambiguous challenges.
- Exceptional communication skills with proficiency in English, enabling clear articulation of complex technical concepts to both technical and non-technical audiences.
- Proven ability to incorporate diverse data sets (e.g., human factors research, biomechanical metrics, and engineering constraints) into computational models.
- Skilled at creating adaptable design systems and flexible frameworks that can evolve alongside project insights.
- Capacity to explore materials, manufacturing processes, and production techniques through algorithmic methods.
- Strong data and file management capabilities, ensuring high-quality digital deliverables that can translate into refined surfaces and production-ready geometry.
- Bachelor’s degree or equivalent experience in Industrial Design, Computational Design, Mechanical Engineering, Architecture, or a related field. Prior experience working in industry is highly preferred.
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 Senior Machine Learning Engineer Lead AI Agents United States, California, Cupertino
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8+ years of software development or machine learning experience. M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience. 4+ years of experience in...
Description:
As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple. Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
- 8+ years of software development or machine learning experience.
- M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
- 4+ years of experience in a technical leadership role.
- Strong programming skills in Python and applied experience with a range of LLMs.
- Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
- Hands-on experience developing, deploying, and operating AI agents in production.
- Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
- A portfolio of deployed agentic systems that have delivered significant, measurable impact.
- Experience in evaluation frameworks for AI agents.
- Proven expertise in optimizing AI agents for latency, scalability, and cost.
- A track record of thought leadership or contributions to the field of agentic AI.
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 Senior Machine Learning Engineer Siri Attention Invocation United States, California, Cupertino
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Passionate about building extraordinary products. Excellent problem solving, critical thinking, and interpersonal skills. Excellent programming and debugging skills. In-depth expertise in developing machine learning models. Expertise in common ML frameworks...
Description:
As a member of the team you will be responsible for researching and developing innovative ML solutions for challenging problems that will meaningfully affect how users interact with Siri on Apple products. You will be looking at the user experience we want to deliver, define the optimization metrics and propose solutions to achieve the goal. You will bring these innovations to life by working collaboratively with partner teams to take them all the way to production. You are self-motivated, excellent problem solver with strong execution. You are good at building relationships and work well with change and ambiguity. You have strong programming skills with tried experience prototyping and converting ideas into reality.
- Passionate about building extraordinary products
- Excellent problem solving, critical thinking, and interpersonal skills
- Excellent programming and debugging skills
- In-depth expertise in developing machine learning models
- Expertise in common ML frameworks (TensorFlow, PyTorch, JAX)
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Proven industry experience in building ML-based production features
- Experience in optimizing machine learning models for efficient inference on device
- Industry experience in implementing and training multimodal LLM or VLM
- Expertise in one or more of computer vision, audio signal processing and motion signal processing
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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03.08.2025
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Apple Staff Machine Learning Performance Engineer United States, California, Cupertino
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Understanding of Transformer and LLM architectures. Strong understanding of Operating System, Compiler and Computer Architecture fundamentals. Expertise in optimizing software for take advantage of underlying hardware architecture. Experience in analyzing,...
Description:
Your work will directly impact Siri's performance and efficiency, enhancing the overall user experience. You will be expected to bring innovative ideas and a problem-solving mindset to tackle the unique challenges associated with optimizing complex ML models.
As a Machine Learning Performance Engineer, you will play a critical role in ensuring the efficiency and scalability of Siri's machine learning models. You will work closely with diverse teams to diagnose performance issues and develop innovative solutions that enhance model performance. Your expertise will be pivotal in shaping the future of Siri's AI capabilities.
- Understanding of Transformer and LLM architectures.
- Strong understanding of Operating System, Compiler and Computer Architecture fundamentals. Expertise in optimizing software for take advantage of underlying hardware architecture.
- Experience in analyzing, identifying, and optimizing performance bottlenecks.
- Bachelors degree in Computer Science, Engineering, or related discipline, or 10+ equivalent industry experience
- Strong plus if you have expertise in optimizing model architectures for on device inference.
- Strong plus if you have previously worked with modeling pipeline teams in model deployment and promotion pipelines.
- Creative, collaborative, and product-focused.
- Excellent communication skills
- PhD in related field
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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03.08.2025
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Apple Machine Learning Manager - Matching Apple Ads United States, California, Cupertino
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3+ years of management experience leading an engineering or AI/ML team. Differentiated, recognized expertise in NLP, information retrieval and search. Demonstrated ability to manage multiple projects simultaneously, adapt to shifting...
Description:
You'll have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You'll drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You've, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You'll have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.
- 3+ years of management experience leading an engineering or AI/ML team.
- Differentiated, recognized expertise in NLP, information retrieval and search.
- Demonstrated ability to manage multiple projects simultaneously, adapt to shifting priorities, and dive deep into technical details as needed.
- Proven ability to translate requirements from design to implementation, both independently and across multiple diversified teams.
- Identifying and growing strategic skills and algorithm specializations that improve the capabilities of the team.
- Experience contributing and/or reviewing research for top conferences and publications.
- Master's, or equivalent experience, in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
- 7+ years of experience building machine learning capabilities across many different product areas at scale.
- PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
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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03.08.2025
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Apple Senior Machine Learning Engineer / Scientist Experimentation United States, California, Cupertino
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Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement. Building and deploying Machine Learning models to production using data processing tools including Spark. 10+...
Description:
Ads ML Experimentation team is seeking a Senior Machine Learning Engineer / Scientist who will help drive innovation. This is a hands-on role for developing & supporting product features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analysis, measure performance and make data-driven decisions.
- Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement.
- Building and deploying Machine Learning models to production using data processing tools including Spark.
- 10+ years of experience in application development with an in-depth understanding of data structures and algorithms.
- Proficiency in computer languages, including Python, Java, and Scala, to support Machine Learning components.
- Familiarity with causal machine learning tools and technologies
- Using database languages (SQL and NoSQL) to build applications.
- Using alerting and observability tools, including DataDog or Splunk, to monitor systems in production.
- Optimizing system performance using data structures and algorithms.
- Experience with software development using one of the following programming languages: Java, Scala, Rust, GoLang, Python.
- Deep understanding of the full software development lifecycle.
- Skilled at operating in a cross-functional organization.
- Familiarity with simulation tools and technologies
- Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Degree in Computer Science, Statistics, Applied Math, or a related field (Bachelor’s, Master’s, or PhD).
- 10+ years of industry experience building scalable applications.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Prior experience with advanced statistical and causal inference is a huge plus.
- Experience collaborating with UX designers to prototype the user experience during the design phase.
- Prior experience in building highly performative Experimentation systems is a huge plus.
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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5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems. Strong understanding in data centric systems, distributed systems, reliability, and cloud services. Hands-on...
Description:
In this role, you will be responsible for engineering solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
- 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
- Strong understanding in data centric systems, distributed systems, reliability, and cloud services.
- Hands-on experience in designing and coding large scale systems.
- Proven experience with applied machine learning, data engineering, or similar.
- MS in Computer Science or related experience.
- Experience with developer tools or developer productivity systems.
- Experience with open source or inner source
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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