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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 - 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

computational photography computer vision machine learning engineer

Apple

In the Camera Imaging Algorithms team in the Camera &amp; Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world. 
 
Description 
 
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline. 
 
Preferred Qualifications 
 
Excellent verbal and written communication skills 
 
Creativity and curiosity for solving complex problems 
 
Minimum Qualifications 
 
Strong coding skills in Python; experience in C/C++ a big plus 
 
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems 
 
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques 
 
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow 
 
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields 
 
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.

Computational Photography/Computer Vision Machine Learning Engineer

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. 
 
As a Senior Computer Vision &amp; Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! 
 
Description 
 
We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. 
 
&quot;,&quot;responsibilities&quot;:&quot;Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products 
 
Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale 
 
Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs 
 
Communicate the latest research developments in image generation to help drive the long-term product roadmap 
 
Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products 
 
Preferred Qualifications 
 
Experience optimizing models and algorithms that run efficiently on resource-constrained platforms is a plus. 
 
Experience with flow matching and multi-modal conditioning for generative modeling is a plus. 
 
Familiarity with 3D reconstruction techniques from single or multiple images, particularly ML-based methods, is a plus. 
 
Knowledge of and keen interest in the art and science of photography and aesthetics. 
 
Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus. 
 
Minimum Qualifications 
 
MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. 
 
Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly diffusion models, variational auto-encoders and transformers. 
 
Experience delivering customer-facing products with computer vision, computational photography or generative AI features. 
 
Hands-on experience building, training, evaluating, and deploying diffusion, transformer and Generative Adversarial Network based models, or related methods. 
 
Experience contributing to large codebases while delivering high-quality software at scale. 
 
Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow. 
 
Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects. 
 
Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field. 
 
Committed 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 $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.

Senior Computer Vision and Machine Learning Engineer, Creativity Apps

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. 
 
As a Computer Vision &amp; Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! 
 
Description 
 
The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. 
 
&quot;,&quot;responsibilities&quot;:&quot;Build state-of-the-art machine learning models to power application features. 
 
Collect model training data, design model architectures, and train custom models suited for application features. 
 
Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators. 
 
Drive application features from concept, model design, development and all the way to delivery. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning or related field. 
 
Experience delivering high quality software at scale is a plus. 
 
Familiarity with modern camera ISP and digital image processing algorithms and models is a plus. 
 
Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus. 
 
Strong patent and publication record at top conferences is a plus. 
 
Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. 
 
Knowledge and keen interest in learning the art and science of photography. 
 
Minimum Qualifications 
 
MS Computer Science, Machine Learning or related field, and 2+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. 
 
Knowledge in theory and practice of computer vision, machine learning and deep learning techniques. 
 
Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas. 
 
Hands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods. 
 
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. 
 
Ability to solve everyday problems in innovative ways. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Committed 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.

Computer Vision and Machine Learning Engineer, Creativity Apps

Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. 
 
As a machine learning engineer, you&rsquo;ll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day! 
 
Description 
 
This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you&rsquo;ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You&rsquo;ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you&rsquo;ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you&rsquo;ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions. 
 
Preferred Qualifications 
 
Experience in prototyping models for edge devices through quick iterations 
 
Familiarity with productization flow for ML models 
 
Prior experience working on deep learning techniques for video processing / computer vision. 
 
Strong fundamentals in Computer architecture 
 
Good written and oral interpersonal skills 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience 
 
Excellent fundamentals in machine learning 
 
Knowledge of Video or Image processing or Computer Vision 
 
Solid programming skills for common ML frameworks like PyTorch or TensorFlow 
 
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 Video Engineer

Do you love working on challenges that no one has solved yet? Do you like changing the game? Envision what you could do here. At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
Description 
 
This position will drive the discovery, design, and optimization of advanced battery materials using Artificial Intelligence/Machine Learning (AI/ML), including Generative AI (GenAI) techniques, and first-principles computational methods (MD/DFT). You will leverage a deep understanding of battery chemistry and physics to accelerate materials innovation for next-generation power solutions. You will work closely with internal multi-functional teams, including materials scientists, experimentalists, and cell engineers, to integrate computational insights with experimental validation to develop cutting-edge battery technologies.&quot;,&quot;responsibilities&quot;:&quot;Develop and implement AI/ML and GenAI models to predict material performance, metrics, and long-term stability based on structural, chemical, and processing parameters, and to propose novel material compositions or structures. 
 
Applying AI/ML techniques (e.g., machine learning, deep learning, statistical modeling, and Generative AI methods) to accelerate the discovery, design, and optimization of novel battery materials (e.g., cathodes, anodes, electrolytes, separators). 
 
Utilize atomistic simulation methods (e.g., Molecular Dynamics (MD), Density Functional Theory (DFT)) to understand fundamental material properties, reaction mechanisms, and degradation pathways at the atomic/molecular level. 
 
Integrate computational materials science workflows with experimental data from material synthesis, characterization, and cell testing. 
 
Collaborate closely with experimental materials scientists to design targeted experiments, validate computational predictions, and guide material synthesis efforts. 
 
Work with battery engineers to translate material-level insights into improved cell performance, lifetime, and safety, often by informing and collaborating on multi-physics models. 
 
Manage and analyze large datasets of material properties, experimental results, and simulation outputs. 
 
Travel to external vendors, suppliers, and manufacturing facilities is expected. 
 
Preferred Qualifications 
 
Four or more years of experience applying AI/ML, Generative AI, computational chemistry, or computational materials science in the field of battery materials or related energy storage systems. 
 
Deep understanding of battery electrochemistry, fundamental materials science, and degradation mechanisms for lithium-ion or other advanced battery chemistries. 
 
Proficiency with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn), with specific experience or strong understanding of Generative AI models (e.g., GANs, VAEs, Diffusion Models, Large Language Models for materials), and data analysis tools (e.g., Pandas, NumPy). 
 
Hands-on experience with atomistic simulation software (e.g., VASP, LAMMPS, Quantum Espresso, Materials Studio) for MD/DFT calculations. Familiarity with materials informatics databases and tools (e.g., Materials Project, OQMD). 
 
Experience managing and analyzing large datasets from simulations and experiments. 
 
Ability to translate complex computational results into actionable insights for experimentalists and engineers. 
 
Strong understanding of multi-physics modeling concepts and their application in electrochemical systems for battery design, performance prediction, and degradation analysis. 
 
Minimum Qualifications 
 
BS degree in Material Science, Chemical, Chemistry, Physics, Computer Science and or related 
 
Experience with applying AI/ML techniques; machine learning, deep learning, statistical modeling, Generative AI methods or related 
 
Experience programming skills in languages such as Python or related 
 
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.

Battery Modeling Engineer - AI for Materials

Imagine being at the forefront of wireless innovation, where cutting-edge AI meets seamless connectivity. We're looking for an exceptional engineer who can harness the power of AI and machine learning to revolutionize how millions of people connect to the world around them. Join us in creating the next generation of intelligent Wi-Fi software for Apple products! 
 
Description 
 
In this role, you will architect and develop advanced Wi-Fi solutions enhanced by artificial intelligence and machine learning capabilities. You'll work on challenging problems from shipping software features to internal tools. 
 
Collaborating with world-class hardware and software teams, you'll have the opportunity to see your innovations ship in products used by millions globally. Your work will span the full stack, from low-level Wi-Fi protocols to high-level ML models, requiring both deep technical expertise and creative problem-solving as you push the boundaries of what's possible in wireless connectivity.&quot;,&quot;responsibilities&quot;:&quot;Design and implement machine learning models that optimize Wi-Fi performance, predict network congestion, and enhance connection reliability 
 
Apply AI and machine learning technologies to internal development tools and workflows, creating intelligent systems that improve software quality, accelerate debugging, and enhance engineering productivity 
 
Collaborate with cross-functional teams to integrate AI-driven networking features into system architecture and hardware platforms 
 
Analyze large-scale network telemetry data to identify patterns, anomalies, and opportunities for ML-based improvements 
 
Optimize ML models for on-device inference, balancing accuracy with power consumption and computational constraints 
 
Drive innovation by researching emerging wireless technologies and AI techniques, prototyping novel solutions to complex connectivity challenges 
 
Partner with privacy and security teams to ensure all ML-enabled networking features meet the highest standards for user data protection 
 
Preferred Qualifications 
 
MS or PhD in Computer Science, Electrical Engineering, or related field with focus on networking or machine learning 
 
You have experience with on-device ML optimization and deployment on resource-constrained systems 
 
You have published research or patents in wireless networking or applied machine learning 
 
You have a demonstrated familiarity with network simulation tools and large-scale data analysis 
 
You have a strong track record of shipping production-quality networking or ML-enabled products 
 
You&rsquo;re laser-focused on the smallest details that are meaningful to our customers 
 
You&rsquo;re obsessively passionate and inquisitive, and seek to tackle everyday problems in innovative ways 
 
Minimum Qualifications 
 
BS degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent field 
 
You have 4+ years of professional experience in Wi-Fi, wireless networking, or related networking technologies 
 
You have strong programming skills in C/C++ or Python 
 
You have demonstrated experience with machine learning frameworks and applying ML techniques to real-world problems 
 
You have a deep understanding of networking protocols (TCP/IP, routing, etc.) and wireless standards (802.11a/b/g/n/ac/ax) 
 
You have excellent communication and collaboration skills with proven ability to work effectively across teams and clearly articulate 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 $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.

Wi-Fi AI/ML Software Engineer

Imagine what you could do here! The people here at Apple don&rsquo;t just create products - they build 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. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. 
 
Here on the Apple Store Online team, we are responsible for Apple&rsquo;s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. 
 
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems &amp; infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to work on new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers ever day. 
 
Description 
 
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with multi-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.&quot;,&quot;responsibilities&quot;:&quot;Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. 
 
Give to the ongoing improvement of our ML infrastructure and tooling. 
 
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering. 
 
Mentor junior MLEs on the team to ensure best practices are followed. 
 
Preferred Qualifications 
 
PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc). 
 
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture. 
 
Skilled in communication, problem solving, critical thinking. 
 
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. 
 
Experience with Spark, TensorFlow, Keras, and PyTorch a plus 
 
Minimum Qualifications 
 
Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience. 
 
5+ years of related experience building high throughput scalable applications or building machine learning models. 
 
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems. 
 
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. 
 
Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output. 
 
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.

Senior Machine Learning Engineer

Explore 142+ Computational photography computer vision machine learning engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.