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senior software engineer - data

automation engineer

Apple

Join our Sensing and Connectivity team to work on the next generation of cutting-edge Location Technologies. We build highly innovative and deeply impactful location features based on the core wireless technologies such as GNSS, Cellular, WiFi and Bluetooth on all Apple products. These are used across many of our products and are the foundation of Maps Navigation, Fitness applications &amp; Emergency Text via Satellite - among many more. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will delight and inspire our customers. We&rsquo;re looking for an individual to help us build automation infrastructure, automated tests, and tools to enhance our quality assurance processes and deliver the best location experience for our customers. 
 
Description 
 
The Software Location QE team undertakes special projects for the Sensing and Connectivity groups at Apple. These projects have ranged from developing data crowdsourcing systems to prototyping apps &amp; features for future OS releases. Our team is looking for an engineer with a deep understanding of GNSS / Cellular location technologies to continue to improve the reliability and robustness of our proprietary system. In this role you will work closely with hardware and software developers to ensure features are developed with high quality and performance. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will work closely with developers and other cross functional stakeholders to understand the features and use data-driven test results to influence and craft the end product. 
 
You will use your programming skills to automate test processes, data analysis, and reporting 
 
Preferred Qualifications 
 
Excellent written and verbal communication skills and ability to thrive in a reciprocal environment 
 
Excellent knowledge of chipset validation lifecycle, testing methodologies, and testing tools 
 
Knowledge of AGNSS / Cellular location simulations required for functional, performance, 3GPP conformance validation 
 
Experience in debugging GNSS logs to triage and root-cause issues ,with development of custom analysis scripts considered a plus 
 
Ability to drive cross-functional communications and understanding dependencies while also ensuring a tight timeline can be maintained 
 
Experience in design and development of automated test harnesses &amp; data analysis tooling 
 
Prior experience of working in fast-paced, agile environment, with flexibility to pivot easily to support new user requirements 
 
Strong mentoring skills and a commitment to team development 
 
Minimum Qualifications 
 
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 
 
3+ years experience in device testing or software based testing 
 
Knowledge of Python coding, and exposure to relevant machine learning algorithms and novel genAI techniques that can be leveraged for automation and analysis 
 
Deep understanding of QA methodologies and automation strategy 
 
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.

Location Software Development Engineer in Test

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

Machine Learning Engineer- Health AIML

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

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

As a Research Engineer you will play a critical role to advance Apple Foundation Models to the next level. You will help turn research breakthroughs into tangible values and deliver state-of-the-art model capabilities to support Apple Intelligence. You will drive innovations with data intelligence from variety of sources, combined with applied research in the areas of LLMs, Visual Understanding, Agentic &amp; Reasoning models, and image &amp; video generation to delight Apple&rsquo;s customers 
 
Description 
 
In this role, you will focus on: 
 
Modeling: design and build models, feature engineering that help achieve desired outcome in multiple modalities across pre-train, mid-train and post-train stages 
 
Evaluation: be able to go deep and perform model &amp; data analysis to hill climb on general as well as specific model capabilities 
 
Optimization: implement scalable data pipelines, optimize models with data intelligence for performance and efficiency, and ensure they are production ready 
 
Data: be obsessed with data quality, work with large amounts of data and build effective data processing steps that are proven to drive results 
 
Learn and collaborate: work closely with software engineers, data scientists and program managers to understand complex user-facing feature challenges. Take part in to share frontier knowledge in the field and maintain high-quality engineering practices 
 
Preferred Qualifications 
 
In-depth hands-on experience with transformer models and deep reinforcement learning. 
 
Familiarity with pre-training and fine-tuning multi-modal LLMs. 
 
Ability to work collaboratively with cross-functional teams as a good communicator with clear and concise, active listening and empathy skills. 
 
Self-motivated and curious, stay on top of the relevant frontier technologies. 
 
Have demonstrated creative and critical thinking with an innate drive to improve how things work. 
 
Have a high tolerance for ambiguity. 
 
Minimum Qualifications 
 
Master or PhDs Degree in Computer Science, Machine Learning, Data Science or a related field. 
 
Demonstrated proficiency in ML frameworks like PyTorch or Tensorflow. 
 
Proven track record in Deep Learning research or industry. 
 
Strong foundation in Computer Science and software engineering with excellent problem-solving &amp; analytical skills. 
 
Demonstrated critical thinking and ability to drive clarity from ambiguity. 
 
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 Research Engineer, Data and Machine Learning Innovation

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. 
 
Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! 
 
Apple&rsquo;s Ads team is seeking a highly skilled and motivated Machine Learning Engineer to join the Ads Relevance and Quality team. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction. 
 
You&rsquo;ll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions. 
 
Description 
 
You&rsquo;ll play a key role in shaping the future of safe, high-quality advertising at Apple. Your work will help ensure that ads remain useful, relevant, and respectful of our users-supporting Apple&rsquo;s values of privacy, trust, and transparency. You&rsquo;ll collaborate with world-class engineers and researchers, apply cutting-edge ML techniques in real-world systems, and have a direct impact on the experience of millions of users every day.&quot;,&quot;responsibilities&quot;:&quot;Design and implement machine learning models to evaluate and improve ad relevance, trust, and quality for user queries 
 
Build NLP and multi-modal models that detect offensive, unsafe, or policy-violating content at scale 
 
Develop methods for semantic query understanding, ads understanding, relevance scoring, and keyword-to-ad matching 
 
Collaborate closely with product and policy teams to translate content integrity standards into measurable ML objectives 
 
Work with large-scale, privacy-preserving datasets to discover and operationalize new quality signals 
 
Conduct offline/online experiments to measure impact on user trust and satisfaction across Ads 
 
Partner cross-functionally with infrastructure, product, and moderation teams to deploy models at production scale 
 
Preferred Qualifications 
 
7+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems 
 
PhD in Computer Science, Machine Learning, NLP, or a related technical field 
 
Additional experience in Scala or Java 
 
Minimum Qualifications 
 
4+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems 
 
Strong expertise in natural language processing, including offensive content detection, semantic matching 
 
Experience with Transformer-based architectures (e.g., BERT, DistilBERT) and training pipelines in TensorFlow or PyTorch 
 
Familiarity with fine-tuning Large Language Models (LLMs) for downstream tasks such as classification, content moderation, or semantic relevance 
 
Familiarity with quality and fairness evaluation frameworks (precision, recall, coverage, policy alignment, etc.) 
 
Hands-on experience with A/B testing, experimentation frameworks, and performance debugging in production 
 
Proficiency in Python and SQL 
 
Strong problem-solving and communication skills with a focus on translating abstract trust/safety goals into deployable solutions 
 
MS in Computer Science, Machine Learning, NLP, or a related technical field 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer - Ads Relevance & Quality

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. 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. 
 
&ldquo;Hey Siri, let&rsquo;s work together at Apple!&quot; The Siri Attention &amp; Invocation team is looking for Machine Learning Engineers passionate about developing and advancing frictionless voice invocation experiences on Apple&rsquo;s innovative devices, enabling compelling new conversational features for Siri interactions. Build end-to-end model training and evaluation pipelines. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done - just by saying &lsquo;(Hey) Siri.&rsquo; 
 
Description 
 
You will be part of a team whose focus will be on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In Siri Attention &amp; Invocation, we own our user journeys end-to-end. We measure the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. We optimize error rates on existing data. We also define new metrics that take into account the user experience we want to deliver and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation - that is where your ability to innovate will be most impactful. 
 
You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, and interact in new and exciting ways, then we cannot wait to hear from you. 
 
&ldquo;&quot;,&quot;responsibilities&quot;:&quot;As a member of this team, the successful candidate will: 
 
Develop and advance frictionless voice invocation experiences. 
 
Be responsible for developing and integrating Siri&rsquo;s speech and audio experience in a full range of Apple devices. 
 
Collaborate with researchers to develop advanced machine learning (ML) technologies. 
 
Focus on improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations. 
 
Develop agile deployment processes which are easier to scale using the best automation practices. 
 
Preferred Qualifications 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Electrical Engineering or related field; outstanding candidates with Bachelor&rsquo;s degrees and multiple years of significant engineering/product experience will also be considered 
 
Industry experience in product development and deployment and understanding of full software product life cycle 
 
Minimum Qualifications 
 
3-5 years of experience with scalable machine learning technologies 
 
Strong background in machine learning and deep learning; experience in speech recognition is highly desired 
 
Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and programming languages including but not limited to C/C++/Python, with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems (e.g., PySpark, Airflow) 
 
Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses 
 
Outstanding problem solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively and to work well in multi-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 $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, Siri Attention & Invocation

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