מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
דרושים Automation Controls Sme Data Center ב-אפל ב-United States, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Automation Controls Sme Data Center ב-United States, Cupertino והצטרפו לרשת החברות המובילות בתעשיית ההייטק, כמו Apple. הירשמו עכשיו ומצאו את עבודת החלומות שלך עם אקספוינט!
חברה (1)
אופי המשרה
קטגוריות תפקיד
שם תפקיד (1)
United States
אזור
Cupertino
נמצאו 206 משרות
25.08.2025
A
Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
תיאור:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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משרות נוספות שיכולות לעניין אותך
24.08.2025
A
Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
תיאור:
- 1+ years of experience in analytics and/or data science teams
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
- Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
- Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
- 3+ years of experience in analytics and/or data science teams
- Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
A
Apple Subject Matter Expert SME Manager - Surface Finishing Platin... United States, California, Cupertino
תיאור:
The Surface Finishing SME Manager is responsible for leading planning, implementing, analyzing, and optimizing high volume plating, passivation, etching, and other finishing processes to meet rigorous cosmetic and functional requirements. Work with suppliers, overseas colleagues, cross functional and leadership teams to create robust processes to meet our rigorous functional and cosmetic requirements.
- Periodic domestic and overseas travel expected
- 10+ years of management experience
- excellent people and communication skills
- MS in engineering (mechanical, industrial, material science, chemical engineering or equivalent),
- Recognized high profile senior leader in Surface Finishing Industry (preferred Electroplating Technology)
- 10+ years of experience in development of surface finishing processes for mechanical components, preferably in a hands-on role with cosmetic enclosures
- Ability to plan, execute, and present results from investigations using statistical analysis as well as technical judgment
- Superior understanding of mechanical properties of materials as they relate to manufacturing requirements
- Ability to reconcile DFM feedback with design goals
- Specific experience in implementing surface treatment and / or electroplating processes in a high volume environment.
- Previous equipment selection and implementation experience
- Record of innovation in Surface Finishing Industry,
- Recognized high profile senior leader in Surface Finishing Industry (preferred Electroplating)
- Experience using advanced analytical tools, methods and approaches to characterize and resolve complex technical issues and drive development initiatives
- Excellent skills and understanding of DOE principles and statistics
- Excellent and proven skills in problem solving
- Experience and passion to interact complex development programs with international suppliers
- Experience and passion to interact with international teams of engineers and scientist.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
A
Apple Senior AI Data Scientist United States, California, Cupertino
תיאור:
As a Senior AI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc.This role will operate in both capacities, to augment existing data solutions, as well as innovate and trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making.
In this role, you will be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You’ll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:- Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms.- Building RCA and recommendation engines that enhance summarization and chatbot capabilities.- Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.- Supporting experimentation and A/B testing for new insight types and interaction methods.- Partnering with AI engineers and PMs to scale features across regions and tools.- Influencing upstream data model design, drive KPI definitions, and develop your own data solutions as needed.- Building and supporting dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
- Experience co-developing with software engineers in production environments.
- Ability to lead development projects from start to finish.
- Comfortable with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
- Strong collaborator who can work closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
- 10+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
- Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
- Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
- Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
- Knowledge of project management and productivity tools such as Wrike, Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Knowledge of best practices in data analysis, data visualization, and data science.
- Ability to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.
- Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
- Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
- Strong experience articulating and translating business questions into data solutions.
- Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
- Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
- Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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02.08.2025
A
Apple Metrics Data Engineer United States, California, Cupertino
תיאור:
This is a hybrid data science / data engineering role. You’ll build data products and tools to support collaborative decision-making with our partner teams in data science, engineering, and product management. We need candidates who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics. You're willing to learn fast, and adapt well to changing requirements and new technology stacks.You'll develop analysis around product metrics data, and ensure the data meets high quality standards. We work closely with Maps Client, Engineering and Data Platform teams to find opportunities for improving data collection. You'll build relationships across Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards.
- 2+ years doing quantitative data analysis.
- 2+ years SQL experience
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala)
- Experience using git for version control
- Experience in designing analytic solutions to open-ended problems
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines
- Conduct hands-on data investigations and be passionate about our data and domain knowledge.
- Prior industry experience with Docker and Kubernetes
- Prior industry experience with building anomaly detection systems
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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02.08.2025
A
Apple AIML - Data Collections Engineering Program Manager Operatio... United States, California, Cupertino
תיאור:
You will be responsible for capturing initial requirements, creating data-collection protocols, working with vendors or internal stakeholders to acquire what is requested at the same time working with support teams (for example) to resource projects adequately. You might also engage with legal to make sure the data is collected in compliance with legal and privacy norms worldwide.
- 8+ years of experience managing projects or programs including large, cross-functional initiatives across global teams.
- Excellent program management skills including program structuring, timeline & resource planning, vendor management and managing multiple work streams interdependently
- Self-directed and proactive. You thrive in an ambiguous and fast-paced environment.
- Highly motivated, good attention to detail, capable of working independently and as part of a team
- Strong verbal, analytical and written communication skills in negotiation, presentation and influence. Can clearly articulate pointed questions to disambiguate strong customer requests from true customer requirements.
- Excellent in teamwork and relationship building. Works to establish a collaborative working environment. Will go above and beyond to get the job done.
- Follows through on commitments exhibiting a high degree of ownership and accountability.
- Ability to simultaneously face multiple teams and/or partner organizations
- Automated data validation experience using ML technologies will be a strong advantage
- Experience with Python, GIT or other source control & Programming languages is an advantage
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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01.08.2025
A
Apple Automation Engineer United States, California, Cupertino
תיאור:
The Video Engineering group is looking for an Automation Engineer with a strong emphasis on industrial automation. This position will require collaboration with multiple teams (hardware, machine learning, and user studies). We work on multiple, related projects requiring creativity and ingenuity. You will be able to demonstrate your skills and expertise as we work together to innovate. You’ll be working on targeted automation projects and initiatives that span hardware and software. You’ll have an opportunity to own a domain of expertise, produce tools that directly contribute towards supporting testing the quality of next-generation Apple products, and continuously grow through facing new challenges.
- BS and a minimum of 3 years relevant industry experience
- Strong proficiency with Python or other scripting languages
- Experience designing and deploying automated systems
- Have a solid understanding of the software development lifecycle, industrial automation terminology, and processes
- Strive to innovate and try new things, incorporating continuous improvement of testing and data collection methods
- iOS Application and/or data pipeline/engineering development experience
- Familiarity with robot kinematics, dynamics, digital control, and signal processing
- Experience working with cloud storage and hosting services
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
תיאור:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
משרות נוספות שיכולות לעניין אותך
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Automation Controls Sme Data Center בחברת Apple ב-United States, Cupertino. בין אם אתם מחפשים אתגר חדש ובין אם אתם רוצים לעבוד עם ארגון ספציפי בתפקיד מסוים, Expoint מקלה על מציאת התאמת העבודה המושלמת עבורכם. התחברו לחברות מובילות באזור שלכם עוד היום וקדמו את קריירת ההייטק שלכם! הירשמו היום ועשו את הצעד הבא במסע הקריירה שלכם בעזרת אקספוינט.