aiml - applied ml engineer, responsible ai

aiml - machine learning engineer, data and ml innovation

administrative assistant - beats, home, accessory, and ecosystem

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 - applied ml engineer, responsible ai Jobs in Cupertino

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

aiml - machine learning engineer, mlr Jobs in Cupertino

aiml - machine learning engineer, mlr

python engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Job Summary
</div><div>We are seeking a versatile Full-Stack AI Engineer to join our product team. You will be responsible for building end-to-end applications that leverage modern web technologies and state-of-the-art AI/ML models. The ideal candidate thrives on the intersection of intuitive UI/UX design and the underlying complexity of machine learning pipelines.
</div><div>Key Responsibilities
</div><ul><li> Frontend Development: Design and implement highly responsive, interactive user interfaces using React (18+) and TypeScript.
</li></ul><ul><li> AI Integration: Architect and deploy AI-driven features such as LLM-powered chatbots, RAG (Retrieval-Augmented Generation) pipelines, and recommendation engines.
</li></ul><ul><li> Backend &amp; APIs: Build scalable REST or GraphQL APIs and serverless backend services to handle complex AI inference tasks.
</li></ul><ul><li> Model Implementation: Integrate models from platforms like OpenAI, Hugging Face, or Anthropic using frameworks like LangChain.
</li></ul><ul><li> Database Management: Design and optimize schemas for both traditional databases (PostgreSQL, MongoDB) and Vector Databases (Pinecone, Weaviate).
</li></ul><ul><li> MLOps: Collaborate on model deployment, monitoring, and fine-tuning to ensure production-grade performance and reliability.
</li></ul><div>Required Skills &amp; Qualifications
</div><ul><li> Frontend: Proficiency in React.js, and modern CSS frameworks like Tailwind CSS.
</li></ul><ul><li> Backend: Strong experience with Node.js or Python (Django/FastAPI).
</li></ul><ul><li> AI/ML: Hands-on experience with Prompt Engineering, LLM APIs, and fine-tuning machine learning models.
</li></ul><ul><li> ML Frameworks: Familiarity with PyTorch or TensorFlow.
</li></ul><ul><li> Cloud &amp; DevOps: Experience with AWS (SageMaker, Lambda) or GCP for deploying AI solutions.
</li></ul><ul><li> Experience: Min 5+ years in full-stack development with a proven portfolio of AI-integrated projects.
</li></ul><div>Preferred Qualifications
</div><ul><li> Contributions to open-source AI projects.
</li></ul><ul><li> Certifications in AI/ML from Coursera (Andrew Ng), Google, or AWS.
</li></ul><ul><li> Knowledge of MLOps best practices (tracking, versioning, and monitoring models).</li></ul> 
<div> 
</div><div>Salary Range:$70,000-$125,000 a year
</div><div>#LI-AS3
</div></div></div></div><div><div><div>Location</div>
<div>Cupertino, CA</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Engineer</div>
</div><div><div>Job Id</div>
<div>401471</div>
</div><div><div>Desired Skills</div>
<div>Artificial Intelligence | Python | ReactJS</div>
</div><div><div>Salary Range</div>
<div>$70,000-$125,000 a year</div></div></div></div><div></div>

Full-Stack AI Engineer (React / Python)

Apple

Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? 
 
We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. 
 
Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms. 
 
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. 
 
Description 
 
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. 
 
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP. 
 
Preferred Qualifications 
 
Hands-on experience in using open-source ML toolkits, e.g., PyTorch 
 
Hands-on experience with building NLP/Generative AI applications 
 
Excellent communication and organizational skills 
 
Minimum Qualifications 
 
Experience writing production software (Swift, C/C++, Obj-C, Python) 
 
Good machine learning (ML) fundamentals 
 
B.S, M.S. or PhD in Computer Science 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 $126,800 and $220,900, 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.

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

In a time where the news and book media landscapes are changing by the day, Apple News and 
 
Apple Books stand as champions of quality content, expert curation, user privacy, and the 
 
judicious use of machine learning. 
 
Our lively and brilliant team consists of client and machine learning engineers who embody 
 
Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our 
 
careers. 
 
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates 
 
as both engineers and people. 
 
Would you like to work on such a team, solving hard problems in machine learning? Terrific! 
 
Please join us for the next generation of these apps! 
 
Description 
 
Our team is seeking a high-energy and self-driven machine learning engineer who will play a 
 
central role in the delivery of scalable services. The team uses machine learning to tackle 
 
difficult and complicated problems in the news, books, and stocks domains, including text 
 
extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a 
 
member of our dynamic group, you&rsquo;ll have the rare and rewarding opportunity to craft upcoming 
 
products that will delight and encourage millions of Apple&rsquo;s customers every day!&quot;,&quot;responsibilities&quot;:&quot;Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. 
 
Develop datasets, design model architecture, and prompt, train, or fine-tune models. 
 
Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features. 
 
Drive application features from concept, model design, and development all the way to delivery. 
 
Join a thriving machine learning community at Apple. 
 
Preferred Qualifications 
 
Ph.D. in Machine Learning, Computer Science, or related field. 
 
At least 5 years of experience shipping machine learning models in products. 
 
Experience with recommender systems. 
 
Experience with text-centric AI/ML (LLMs, document classification, search, etc.) 
 
Experience delivering high quality software at scale. 
 
Experience designing user-facing machine learning features with interdisciplinary partners. 
 
Minimum Qualifications 
 
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable. 
 
At least 2 years of experience shipping machine learning models in products. 
 
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Commitment to encouraging an open and inclusive work environment. 
 
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.

Machine Learning Engineer - News, Books, & Stocks Team

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

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making each other&rsquo;s ideas stronger. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. 
 
Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple&rsquo;s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple&rsquo;s privacy policy by achieving all of the above on device with powerful Machine Learning. 
 
Description 
 
As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong Machine Learning and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity! 
 
Preferred Qualifications 
 
Familiar with model compression algorithms including quantization, pruning, distillations, and experience optimizing large diffusion models or language models 
 
Experience with hardware architecture, software &amp; hardware co-design 
 
Experience with deploying large ML models in real world products 
 
Actively programming with high-quality codes across complex and large repositories 
 
Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc 
 
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely 
 
Minimum Qualifications 
 
Strong machine learning fundamentals 
 
Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments 
 
Strong programming and communication skills 
 
Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven 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.

Machine Learning Research Engineer, Text Generation

<div>Are you a seasoned engineer passionate about transforming cutting-edge ML research into production systems that improve lives? The Applied Sensing &amp; Health team is revolutionizing health and fitness technology, empowering millions to live healthier, more active lives. We develop sophisticated machine learning algorithms and sensor fusion systems that track human motion, turning raw data into meaningful, actionable insights for Apple users worldwide. 
 
Join a team of world-class experts dedicated to applied ML in human movement and health. Here, you'll bridge the gap between research and production-translating novel ML approaches into robust, high-performance systems that delight and inspire millions of Apple customers every day. This is a unique opportunity to blend ML expertise with systems engineering in service of a mission that truly matters. 
 
Description 
 
The Applied Sensing &amp; Health team delivers critical Health and Fitness features for Apple Watch, iPhone, and other Apple products. We are seeking a versatile applied ML engineer who thrives at the intersection of research and production systems. In this pivotal role, you will: 
 
<ul><li>Translate cutting-edge ML research into optimized, production-ready algorithms for sensor data processing</li></ul> 
<ul><li>Design and conduct data-driven research to improve fitness and health algorithms, analyzing large-scale sensor datasets to derive actionable insights</li></ul> 
<ul><li>Implement ML models and pipelines end-to-end-from prototyping in Python to production deployment in C++</li></ul> 
<ul><li>Collaborate with research scientists to evaluate new approaches and drive them toward production</li></ul> 
<ul><li>Build tools and infrastructure for data analysis, model evaluation, and algorithm validation</li></ul> 
Your work will span the entire ML workflow: researching novel approaches, prototyping solutions, analyzing data at scale, and implementing robust production systems. You'll work closely with ML researchers, health scientists, and multi-disciplinary teams across Apple, delivering best-in-class systems that impact millions of users daily. 
 
Preferred Qualifications 
 
A demonstrated passion for health and fitness, driven to empower users through technology 
 
Experience with sensor data analysis, signal processing, or time-series modeling 
 
Knowledge of biomechanics, exercise physiology, or human movement analysis 
 
C++ programming skills with ability to optimize ML algorithms for production systems, including performance tuning and memory management 
 
Understanding of systems-level programming concepts including multi-threading,concurrency, and real-time constraints 
 
Publications or demonstrated research contributions in ML, computer vision, or related areas 
 
Track record of shipping ML-powered products or features at scale 
 
Minimum Qualifications 
 
MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field 
 
3+ years of experience applying ML to real-world problems. 
 
Strong foundation in machine learning with hands-on experience across the full ML workflow: research, experimentation, model development, evaluation, and production deployment 
 
Proficiency in Python for ML development, data analysis, and statistical modeling; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.) 
 
Experience translating research papers or prototypes into production-quality code 
 
Strong data analysis skills: comfortable working with large datasets, conducting experiments, visualizing results, and drawing meaningful conclusions 
 
Demonstrated ability to work independently on research problems while also collaborating effectively with cross-functional teams 
 
Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies. 
 
Intellectual curiosity and willingness to dive deep into both algorithmic details and implementation challenges 
 
Exceptional communication skills; able to explain complex technical concepts to diverse audiences 
 
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 $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>

Senior Machine Learning Engineer, Applied Sensing & Health

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

Explore 101+ Python engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.