What Jobs are available for Apple Inc in Sunnyvale?

SoC Physical Design Engineer, PnR job at Apple Inc., Sunnyvale, CA. Imagine what you could do here! At Apple, new ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your job, and there's no telling what you could accomplish. Our dynamic, hardworking people and inspiring, innovative technologies are the norm. The team here has reinvented entire industries with Apple Hardware products. Our passion for innovation extends to our practices, reinforcing our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product!

Description

In Physical Design, you will collaborate with architecture, CAD, timing, and logic design teams, impacting the delivery of top-tier designs. Your responsibilities include:

1. Understanding partition architecture with the logic design team and influencing physical aspects early in the design cycle.
2. Completing netlist to GDSII implementation for partitions, meeting schedule and design goals.
3. Performing timing, physical, and electrical verification, and driving signoff closure.
4. Resolving and improving design and flow issues related to physical design, identifying solutions, and driving execution.

Minimum Qualifications

• Bachelor's degree.
• Basic understanding of logic gates.

Preferred Qualifications

• Internship, project work, or coursework in computer architecture, VLSI, design, logic design, or circuit design.
• Strong teamwork skills and ability to collaborate across multiple teams.
• Experience with Verilog, VHDL, Python, Perl, TCL, and/or SPICE.

Pay & Benefits

• The base pay range is $121,900 to $183,600, depending on skills, qualifications, experience, and location.
• Opportunities for stock programs, bonuses, and relocation assistance.
• Benefits include medical and dental coverage, retirement plans, discounts, educational reimbursement, and more.
• Apple is an equal opportunity employer committed to diversity and inclusion.

Please apply using the following link

Responsibilities

• Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.
• Coordinate and collaborate with other Software Development group so that ML Pipeline fits well with the rest of our software applications.
• Balance adding new features with the need for stability and performance.
• Grow development capabilities to align with the pace of business needs.

Qualifications

• Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
• 3+ years of experience with Python coding
• 3+ years of recent experience working as a Data Scientist in industry
• Experience with developing production-grade code, preferably in Python
• Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
• Strong professional written and verbal communication skills
• Ability to pass a Data Science skills-based test
• Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
• Ability to create model-ready data from raw data, at scale
• Ability to translate business problems into data science pipelines
• Comfort with ML theory to recommend solutions beyond the standard libraries
• Must be able to work independently and as part of a diverse interdisciplinary and international team
• Communicates clearly to technical and non-technical audiences
• Empathy with customer business challenges
• Ability to map business problems to software and data science techniques.
• Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model prediction
• Basic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks
• Understanding of hypervisors/containers, especially Docker

Please apply using the following link

Responsibilities

• Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.
• Coordinate and collaborate with other Software Development group so that ML Pipeline fits well with the rest of our software applications.
• Balance adding new features with the need for stability and performance.
• Grow development capabilities to align with the pace of business needs.

Qualifications

• Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
• 3+ years of experience with Python coding
• 3+ years of recent experience working as a Data Scientist in industry
• Experience with developing production-grade code, preferably in Python
• Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
• Strong professional written and verbal communication skills
• Ability to pass a Data Science skills-based test
• Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
• Ability to create model-ready data from raw data, at scale
• Ability to translate business problems into data science pipelines
• Comfort with ML theory to recommend solutions beyond the standard libraries
• Must be able to work independently and as part of a diverse interdisciplinary and international team
• Communicates clearly to technical and non-technical audiences
• Empathy with customer business challenges
• Ability to map business problems to software and data science techniques.
• Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model prediction
• Basic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks
• Understanding of hypervisors/containers, especially Docker

Position Summary

The Emerging Content team is a cross‑functional group of platform engineers, application developers, data scientists, and product visionaries focused on building technology‑driven products and customer experiences that reshape the future of e‑commerce. At the global scale of Walmart, we design, prototype, and launch services that help customers find products they love and make informed purchasing decisions. As a data scientist on this team, you will work on cutting‑edge machine learning, personalization, and recommendation systems that impact millions of users worldwide.

• Develop state‑of‑the‑art techniques in Machine Learning, Personalization and Recommendation Systems .
• Design, implement, and own advanced ML approaches including deep learning, reinforcement learning, generative AI and computer vision .
• Collaborate with technical leads on top‑down or bottom‑up initiatives and priorities.
• Build and refine data models based on emerging insights.
• Iterate on data architecture, best practices, and productivity across personalization and recommendation domains.

• Master’s or PhD in Data Science, Computer Science, or related field, plus practical experience.
• Expertise in Machine Learning, Statistics, Personalization, and Item Recommendation algorithms .
• Proven experience building and evaluating large‑scale ML and deep‑learning models.
• Hands‑on experience designing and deploying scalable recommender systems for e‑commerce.
• Curiosity for cutting‑edge recommendation techniques.
• Strong business acumen, problem‑solving, and the ability to prototype complex AI solutions.
• Excellent communication, leadership, and written skills.

• Competitive base salary with performance‑based bonus.
• 401(k) match, stock purchase plan, and other equity opportunities.
• Health, vision, and dental coverage; paid maternity and parental leave.
• Paid time off, including vacation, sick leave, and family leave.
• Other perks such as tuition reimbursement, military leave, and wellness programs.

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing unique styles, experiences, identities, and ideas – all while being inclusive of all people.

Location: Sunnyvale, CA 94089. The above information is designed to indicate the general nature of the role and is not exhaustive. For full details, refer to the official Walmart hiring portal.

What you'll do

We are seeking a Principal Data Scientist to drive innovation within Walmart International Search and Personalization. This role will be instrumental in enhancing our entire Search Stack - including Pre-retrieval, Retrieval and Ranking along with recommendation systems, and user personalization strategies across the user journey by leveraging cutting-edge ML techniques. You will lead high-impact projects, collaborate with cross-functional teams, and shape the future of how customers discover and interact with our platform.

• Develop and Optimize ML Models : Design and deploy machine learning models for search relevance, ranking, query understanding, embeddings, personalization, and recommendations.

• Lead Algorithmic Innovations : Drive the development of deep learning, reinforcement learning, multi-task learning, and LLM-based techniques to improve search and personalization performance.

• Lead Model Architecture Discussions : Define and drive end-to-end ML architecture decisions, ensuring models are scalable, efficient, and aligned with business needs. Collaborate with ML engineers and platform teams to design architectures that integrate seamlessly into production.

• Scale AI in Production : Work closely with MLOps and engineering teams to deploy and maintain scalable ML solutions that power real-time experiences.

• Experimentation and Evaluation : Define KPIs, design A/B tests, and lead offline/online evaluations to measure and optimize model effectiveness.

• Cross-functional Collaboration : Partner with Product, Engineering, UX, and Business teams to align machine learning initiatives with strategic goals.

• Mentor and Influence : Provide technical leadership, mentor junior team members, and contribute to the broader ML and AI strategy for the organization.

• Expertise in Search & Personalization : Strong experience in information retrieval, search ranking, query intent classification, and recommendation systems.

• Advanced ML & AI Knowledge : Proficiency in deep learning (Transformer models, embeddings, contrastive learning), NLP (LLMs, BERT, RAG-based systems), and graph-based personalization techniques.

• Applied Experience : Hands-on experience in deploying ML models at scale using frameworks like TensorFlow, or PyTorch.

• Open-Source ML Technologies : Strong experience with distributed computing, feature stores (Feast), and ML platforms such as MLflow and Kubeflow.

• Strong Programming & Engineering Skills : Proficiency in Python, Scala, or Java, with experience in writing production-quality ML pipelines.

• Proven Track Record : Experience in designing and leading ML projects that drive measurable business impact.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart (

The annual salary range for this position is $143,000.00-$286,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

• Stock

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

680 West California Avenue, Sunnyvale, CA , United States of America

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

Position Summary

The Emerging Content team is a cross‑functional group of platform engineers, application developers, data scientists, and product visionaries focused on building technology‑driven products and customer experiences that reshape the future of e‑commerce. At the global scale of Walmart, we design, prototype, and launch services that help customers find products they love and make informed purchasing decisions. As a data scientist on this team, you will work on cutting‑edge machine learning, personalization, and recommendation systems that impact millions of users worldwide.

• Develop state‑of‑the‑art techniques in Machine Learning, Personalization and Recommendation Systems .
• Design, implement, and own advanced ML approaches including deep learning, reinforcement learning, generative AI and computer vision .
• Collaborate with technical leads on top‑down or bottom‑up initiatives and priorities.
• Build and refine data models based on emerging insights.
• Iterate on data architecture, best practices, and productivity across personalization and recommendation domains.

• Master’s or PhD in Data Science, Computer Science, or related field, plus practical experience.
• Expertise in Machine Learning, Statistics, Personalization, and Item Recommendation algorithms .
• Proven experience building and evaluating large‑scale ML and deep‑learning models.
• Hands‑on experience designing and deploying scalable recommender systems for e‑commerce.
• Curiosity for cutting‑edge recommendation techniques.
• Strong business acumen, problem‑solving, and the ability to prototype complex AI solutions.
• Excellent communication, leadership, and written skills.

• Competitive base salary with performance‑based bonus.
• 401(k) match, stock purchase plan, and other equity opportunities.
• Health, vision, and dental coverage; paid maternity and parental leave.
• Paid time off, including vacation, sick leave, and family leave.
• Other perks such as tuition reimbursement, military leave, and wellness programs.

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing unique styles, experiences, identities, and ideas – all while being inclusive of all people.

Location: Sunnyvale, CA 94089. The above information is designed to indicate the general nature of the role and is not exhaustive. For full details, refer to the official Walmart hiring portal.

What you'll do.

Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best personal assistants to Walmart’s customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences.

We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes ( ).

Interested in diving in?

We need passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases.

Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love.

As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.

Minimum Qualifications

• Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field.
• Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these.
• Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source)
• Experience with Python; solid knowledge SQL.
• Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
• Excellent oral and written communication skills.

Preferred Qualifications

• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)
• Experience developing multimodal solutions for Generative AI and related applications at scale
• Exposure to real-world, production grade agentic systems.
• Familiarity with LLMs serving optimizations and multi-LoRa
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Strong attention to detail and exceptional level of organization
• Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
• Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.

For information about PTO, see .

For information about benefits and eligibility, see One.Walmart .

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

What you'll do.

Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best personal assistants to Walmart’s customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences.

We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes ( ).

Interested in diving in?

We need passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases.

Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love.

As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.

Minimum Qualifications

• Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field.
• Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these.
• Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source)
• Experience with Python; solid knowledge SQL.
• Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
• Excellent oral and written communication skills.

Preferred Qualifications

• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)
• Experience developing multimodal solutions for Generative AI and related applications at scale
• Exposure to real-world, production grade agentic systems.
• Familiarity with LLMs serving optimizations and multi-LoRa
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Strong attention to detail and exceptional level of organization
• Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
• Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.

For information about PTO, see .

For information about benefits and eligibility, see One.Walmart .

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Summary:

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Scientist, Product Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent

3. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)

4. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)

Preferred Qualifications:

Preferred Qualifications:

1. Master's or Ph.D. Degree in a quantitative field

Public Compensation:

$145,000/year to $204,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at