aiml - machine learning engineer, data and ml innovation

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

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

administrative assistant - beats, home, accessory, and ecosystem

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

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

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

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

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

deep learning engineer

Apple

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

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

Staff Machine Learning Engineer

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

The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done - just by asking. 
 
Description 
 
As a machine learning engineer at Siri, you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users.&quot;,&quot;responsibilities&quot;:&quot;As a member of this team, the successful candidate will: 
 
Develop novel ML/DL models including LLMs for natural language understanding and generation, especially under computation and resource limitations. 
 
Work with software and platform engineers to ship LLMs in production. 
 
Diagnose model errors and perform accuracy hill climbing for AI assistants. 
 
Context engineering for LLMs 
 
Large scale dataset generation 
 
Preferred Qualifications 
 
3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc. 
 
Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs). 
 
Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency 
 
Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus. 
 
Minimum Qualifications 
 
Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding. 
 
Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills 
 
Ph.D. or M.S. degree in 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.

Machine Learning Engineer, Siri Core Modeling

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

<div>The Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple&rsquo;s devices and services on the cloud. 
 
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. 
 
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple&rsquo;s AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies. 
 
Description 
 
As a member of our fast-paced group, you&rsquo;ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models. This role will have the following responsibilities: 
 
<ul><li>Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple&rsquo;s AI-powered products</li></ul> 
<ul><li>Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems</li></ul> 
<ul><li>Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies</li></ul> 
<ul><li>Understanding product requirements, translate them into modeling tasks and engineering tasks</li></ul> 
<ul><li>Stay up to date with the latest advancements and research in deep learning and large language models</li></ul> 

Preferred Qualifications 
 
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
At least 1 year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: 
 
<ul><li>Supervised Fine-tuning (SFT) with Rejection Sampling</li></ul> 
<ul><li>Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.)</li></ul> 
<ul><li>Parameter efficient fine-tuning techniques (e.g LoRA)</li></ul> 
<ul><li>Hallucination reduction and factual accuracy improvements</li></ul> 
<ul><li>Designing and implementing safety guardrails</li></ul> 
At least 4 years of experience with large-scale model training, optimization, and deployment 
 
One or more scientific publications in various conferences and journals 
 
Outstanding communication and interpersonal skills with ability to work with cross-functional teams. 
 
Minimum Qualifications 
 
Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails 
 
Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation 
 
Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, 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 $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Machine Learning Engineer, Apple Search & Knowledge Platforms

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

Explore 89+ Deep learning engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.