aiml - machine learning engineer, data and ml innovation

aiml - machine learning research engineer, data and machine learning innovation

aiml - sr applied ai scientist - genai model autograding, evaluation

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ai/ml engineer: system rf data ecosystem Jobs in Cupertino

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - machine learning research engineer, data and machine learning innovation Jobs in Cupertino

aiml - sr applied ai scientist - genai model autograding, evaluation Jobs in Cupertino

machine learning engineer

Apple

We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping diﬀerent AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system. 
 
Description 
 
As a member of our team, you&rsquo;ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps! This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills. 
 
Preferred Qualifications 
 
Understanding of Knowledge graphs and their applications to entity matching 
 
Working knowledge of Deep learning and computer vision, are pluses 
 
Minimum Qualifications 
 
5+ years of experience in building large scale machine learning systems. 
 
Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition. 
 
2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc). 
 
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++ 
 
Experience working with large scale and real world datasets 
 
Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies 
 
Metrics focused and passionate about delivering models that render high quality results 
 
Familiarity with cloud platforms such as AWS, GCP, or Azure. 
 
Strong problem-solving, communication, and ability to collaborate with cross-functional teams. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Staff Machine Learning Engineer

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data. 
 
Description 
 
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! 
 
You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives. 
 
Preferred Qualifications 
 
Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. 
 
Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. 
 
Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. 
 
Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. 
 
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. 
 
Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. 
 
Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. 
 
Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. 
 
Proven experience in leading and mentoring teams is a plus. 
 
Minimum Qualifications 
 
3+ years of experience in machine learning algorithms, statistics, and data mining models, with an emphasis on large language models (LLM) or large multimodal models (LMM). 
 
Master&rsquo;s degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or a related field. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

LLM Machine Learning Engineer

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives. 
 
Description 
 
In this role, you will use your skills and experience in ML and deep learning to design, implement, tune and evaluate machine learning models and algorithms to solve ambitious problems involving unique data and objectives including state of the art generative AI models and tools. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to apply novel research at the intersection of Health and ML into customer features. 
 
Preferred Qualifications 
 
PhD preferred. 
 
5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets. 
 
Strong background in generative models, natural language processing, and large language models. 
 
Proficiency working with large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax, Huggingface). 
 
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements. 
 
Proven track record of contributing to diverse teams in a collaborative environment. 
 
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills. 
 
Minimum Qualifications 
 
10+ years of overall software development experience. 
 
Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production. 
 
BS/MS/Ph.D. in Computer Science, Computer Engineer, Machine Learning, or related fields or equivalent qualification. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer- Health AIML

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. 
 
Description 
 
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Working with computer architects to develop ideas for improving performance on future silicon. Improving performance of machine learning algorithms on the CPUs in apple watches, iPhones and Mac. Testing workloads to ensure no performance regressions on silico. Debugging performance regressions on silicon and improve performance of machine learning model. Researching about instruction set architectures and conduct performance tuning on hardware. Collaborating with compiler teams to improve application and system performance. Working closely with OS teams to debug issues and maintain the operating system. Benchmarking and comparing the performance of workloads across different operating system/compiler/silicon versions. Working with machine learning teams to find ways to improve the performance of their models on the CPUs in different devices. Presenting CPU performance results to cross functional teams. Working with performance modeling team to develop plans for silicon performance profiling and characterization; and working with instruction profiling tools to develop new instructions to improve instruction time. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,470 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location. 
 
PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Preferred Qualifications 
 
N/A 
 
Minimum Qualifications 
 
Master&rsquo;s degree or foreign equivalent in Electrical Engineering, Computer Engineering or related field. 
 
Experience and/or education must include: 
 
Programming in C/C++ and machine learning including neural networks and K-nearest neighbors. 
 
Developing high performance software for linear algebra kernels and kernels used in machine learning applications. 
 
Write parallel code for multicore, manycore, and cluster platforms. 
 
Write parallel programs understanding machine performance characteristics and how hardware design affects software design. 
 
Optimizing compilers that effectively exploit modern processor architectures and implementing optimizations within the framework of a compiler. 
 
Knowledge of assembly language programming. 
 
Applying tools including compilers, code analyzers, debuggers, and profilers. 
 
Utilizing modern programming tools including GDB debuggers and x86 disassemblers. 
 
Evaluate performance and implement optimizations for machine learning algorithms using computer arithmetic, processor architecture, memory organization and management, concurrent computation. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Machine Learning Engineer

Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple. 
 
Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. 
 
We are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide. 
 
Description 
 
We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.&quot;,&quot;responsibilities&quot;:&quot;Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide. 
 
Advance the state of the art in natural language processing, speech and audio modeling. 
 
Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms. 
 
Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products. 
 
Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences 
 
Preferred Qualifications 
 
Experience in reinforcement learning 
 
Experience with Speech LLMs or other Multimodal LLMs 
 
Experience with building &amp; deploying AI agents and LLMs 
 
Experience with large scale machine learning training/evaluation 
 
Data-centric vision and hands-on experience in developing and scaling foundation models 
 
Minimum Qualifications 
 
M.S. or PhD in Electrical Engineering, Computer Science or related fields 
 
5-7+ years experience in Machine Learning 
 
Experience in developing, training/tuning large generative models or LLMs 
 
Experience with machine learning frameworks such as JAX and/or PyTorch 
 
Proficient programming skills in Python 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Machine Learning Engineer, Siri Speech

Join the team responsible for Apple&rsquo;s Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple&rsquo;s engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. 
 
We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems&rsquo; capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer. 
 
Description 
 
Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users. 
 
You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. 
 
The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. 
 
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting. 
 
Preferred Qualifications 
 
Working knowledge of applied Natural Language Processing. 
 
Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems. 
 
Minimum Qualifications 
 
Industry experience with applied machine learning. 
 
Industry experience in software engineering, data engineering, or similar. 
 
Strong fundamentals in problem solving, algorithm design, and model building 
 
Excellent verbal and written communication and presentation skills 
 
MS in Computer Science or related experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Applied Machine Learning Engineer - Customer Feedback

<div>The Software Localization &amp; Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple&rsquo;s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple&rsquo;s products. 
 
We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required. 
 
Description 
 
As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple&rsquo;s products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include: 
 
<ul><li>Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment</li></ul> 
<ul><li>Helping define a scalable, data driven quality program to continuously improve ML based products and features globally</li></ul> 
<ul><li>Collaborating with translation, Localization quality, project management and engineering teams to develop and scale the approach with a focus on the end user and the product quality</li></ul> 
<ul><li>Developing and maintaining features, frameworks and tools to help facilitate the software translation process</li></ul> 

Preferred Qualifications 
 
Hands-on experience with handling large datasets and developing data analytics pipelines for natural language based products 
 
Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products 
 
Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT) 
 
Experience in software Localization / internationalization 
 
Native-level foreign language skills in reading, writing and speaking 
 
Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally 
 
Published research in the field of Machine Learning or AI 
 
Minimum Qualifications 
 
Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP) 
 
Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging 
 
Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models 
 
Strong programming skills in Python or other scripting languages 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Machine Learning Engineer, International Data Engineering

Explore 82+ Machine learning engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.