aiml - machine learning engineer, data and ml innovation

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

aiml - sr machine learning engineer, responsible ai

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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 machine learning engineer, responsible ai Jobs in Cupertino

applied ai/ml sw software engineer Jobs in Cupertino

applied ai/ml sw software engineer

computer vision engineer

Apple

Imagine the possibilities here. At Apple, new ideas swiftly transform into extraordinary products, services, and customer experiences. With passion and dedication, you can achieve remarkable things. Here, dynamic and hardworking individuals, coupled with inspiring and innovative technologies, are the norm. 
 
Our passion for innovation extends beyond our products to our practices, solidifying our commitment to leaving the world better than we found it. Join us in delivering the next groundbreaking Apple product. 
 
Are you passionate about tackling unsolved challenges? As a member of our dynamic group, you&rsquo;ll have the unique and rewarding opportunity to design upcoming products that will delight and inspire millions of Apple&rsquo;s customers daily. 
 
Are you passionate about building products that harness the power of artificial intelligence, machine learning, and computer vision? Do you have the expertise to apply cutting-edge knowledge to create innovative AI camera features for Apple&rsquo;s products, such as the iPhone or iPad? If you&rsquo;re an exceptional data engineer, the Camera Intelligence team is seeking you to join us in building our next generation of camera features. 
 
Description 
 
We are seeking a Data Engineer to join our team to leverage the potential of artificial intelligence in Apple's cameras. In this highly collaborative role, you will partner with data collection/annotation teams, ML researchers, and camera feature teams to integrate models, design data pipelines, and shape the data requirements for next-generation camera intelligence features. An ideal candidate should possess experience with modern machine learning workflows, a solid grasp of deep learning and the data requirements of modern network architectures.&quot;,&quot;responsibilities&quot;:&quot;Work and communicate cross functionally with ML researcher and annotation teams. 
 
Drive our ML data efforts. 
 
Design and implement data pipelines. 
 
Support our model selection process. 
 
Preferred Qualifications 
 
Deep understanding of concurrency, parallelism, and working with S3-like object storage systems 
 
Experience with efficient data storage formats for ML workflows (LMDB, HDF5, Parquet, or similar) 
 
Experience building ETL pipelines for image/video datasets and ML training workflows. 
 
Minimum Qualifications 
 
Excellent written and verbal communication skills. 
 
Proven ability to collaborate across multiple teams including data collection/annotation, ML researchers, and camera feature teams. 
 
Strong programming skills in Python with hands-on experience with Dask for distributed data processing 
 
Familiarity with ML frameworks (TensorFlow, PyTorch) and modern deep learning architectures 
 
Understanding of imaging fundamentals: raw sensor data, ISP outputs, color spaces, and image quality metrics. 
 
Ability to work independently and resolve infrastructure challenges with minimal support. 
 
Bachelor's degree in Computer Science, Engineering, or related field with relevant experience in data engineering and computer vision/imaging domains. 
 
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 $141,800 and $258,600, 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.

Data Engineer - Camera Intelligence

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
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.

AIML - Machine Learning Engineer, Data and ML Innovation

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

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

Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you! 
 
Description 
 
Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions. 
 
In this role, you will be responsible for developing novel ML approaches to challenging quality problems at scale. You'll work hands-on with a diverse set of ML techniques to find what actually works in production. You'll guide technical direction for the team, mentoring junior engineers while maintaining deep involvement in the code and experimentation yourself. Your technical judgment and understanding of both generative models and traditional ML methods will directly shape our product direction. 
 
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems with creative solutions, have strong intuition for what will and won't work in practice, and thrive in a collaborative team setting where you can both learn and teach.&quot;,&quot;responsibilities&quot;:&quot;Design and implement novel ML solutions for testing and automation problems 
 
Provide technical leadership and mentorship on research directions 
 
Apply a broad range of ML techniques (LLMs, classical ML, computer vision, reinforcement learning) to identify the best approach for each problem 
 
Work cross-functionally with product teams, integration engineers, and other ML practitioners across Apple 
 
Preferred Qualifications 
 
Experience with classical ML techniques, reinforcement learning, or probabilistic modeling in addition to deep learning 
 
Experience in NLP, computer vision, or multimodal ML applications 
 
Track record of technical mentorship or leading complex ML projects 
 
Familiarity with Apple development ecosystem and frameworks 
 
Experience with testing, software quality, or developer tools 
 
Minimum Qualifications 
 
5+ years of hands-on experience developing machine learning systems in production environments 
 
Strong programming skills with demonstrated ability to write production-quality ML code 
 
Proven track record working with multiple ML paradigms including modern and traditional methods 
 
MS or PhD in Computer Science, Machine Learning, or equivalent professional 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 $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 - Tools & Frameworks AI

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our group, you&rsquo;ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You&rsquo;ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You&rsquo;ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we&rsquo;ll craft a magical photography experience that redefines what millions of customers can expect from their cameras. With the rapid growth of Machine Learning, supported by the fastest mobile chips in the world, cameras can capture photos and videos that are better than ever, surpassing what could be foreseen from hardware improvement, just a few years ago. These new software technologies also provide camera systems with better understanding of the surrounding world, opening a new, widely uncharted, realm of possibilities, for instance different ways to capture, represent or edit memories, or new abilities to create content for applications. 
 
Description 
 
As a team member of an incubation team, you will develop future feature ideas into proofs of concept and prototypes, and then contribute to transform them into products that will surprise and delight millions of customers all over the world. In particular, you'll take on the challenge of applying innovating machine learning solutions to enhance the video experience on our devices, and finding the right trade-off between quality and performance on very power constrained devices. You'll work with hardware and software teams to optimize the end to end data flow, and identify blocks that can be reused and accelerated by hardware customization. The ideal candidate is self-motivated, an excellent problem solver, and a faster learner. You are comfortable working in a dynamic multi-functional environment, quick to establish relationships and comfortable with changes and ambiguities. You will bring software expertise to a highly interdisciplinary team, and work with many dedicated engineers to build high-quality features in Apple products. 
 
Preferred Qualifications 
 
Demonstrated ability in taking initiative to solve problems without explicit directions, and delivering results under tight engineering schedules. 
 
Excellent oral and written skills for clear reporting of data analysis and conclusions. 
 
Experience in specifying and creating datasets for a particular task. 
 
Self-driven and passionate for camera technologies, as well as prototyping and productization. 
 
Ability to learn quickly and become familiar with multiple technology areas. 
 
Minimum Qualifications 
 
MS degree with 6 years relevant proven experience. 
 
Development experience in image or video processing. 
 
Experience on CV/ML development framework. 
 
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.

Camera Incubation Machine Learning Engineer

Are you passionate about building software that will be used by hundreds of millions of people worldwide? Do you enjoy devising simple yet elegant solutions to complex global problems? 
 
The Maps Search Platform and Services team is seeking a Principal Software Engineer to help deploy new Search Platforms and Services which empower Maps Core Search, Autocomplete, and other unique Search features within Apple Maps. 
 
Description 
 
As a Principal Software Engineer in the Apple Maps team, you&rsquo;ll be instrumental in contributing to both the search platform and the product itself. You&rsquo;ll have the opportunity to innovate on the search platforms, crafting elegant solutions within distributed systems. Collaborating closely with development and product teams, you&rsquo;ll build seamless solutions that work across the entire Apple ecosystem. Additionally, you&rsquo;ll participate in design and code reviews, working alongside engineers and QA to deliver a high-quality search experience to our customers.&quot;,&quot;responsibilities&quot;:&quot;Hands-on technical leadership on multiple fronts such as architecture, development, code reviews, and operations. 
 
Own and drive multiple critical work streams, which includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results. 
 
Conduct deep-dives on product design and architecture, in collaboration with various engineering teams and having a direct impact on product development. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Science or related fields 
 
Understanding of search indexing and ranking algorithms 
 
Experience in high throughput, low latency distributed systems. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering or equivalent practical experience 
 
plus at least 12 years of hands-on software engineering and systems architecture experience. 
 
Proven experience in building search related services. 
 
Expertise in one or more modern programming languages, such as Java, C++, Python. 
 
Experience on collecting high-level requirements and translating them into pragmatic solutions. 
 
Demonstrated success in working with cross-functional teams including parters, product management, business teams. 
 
Solid interpersonal and communications skills, with proven ability to translate complex technical concepts and roadmaps 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 $212,000 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.

Principal Software Engineer - Maps Search

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