מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
דרושים Data Quality Analyst - Siml Ise ב-אפל ב-United States, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Data Quality Analyst - Siml Ise 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 323 משרות
25.08.2025
A
Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
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...
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.
Show more
משרות נוספות שיכולות לעניין אותך
25.08.2025
A
Apple Manufacturing Quality Engineer - Enclosures United States, California, Cupertino
5+ years of experience in manufacturing and Quality Control. Travel internationally to supplier sites - 30%. BS in Engineering (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Manufacturing systems engineering,...
תיאור:
As a part of the Manufacturing Design team, you will have the opportunity to lead the development of quality processes for new and exciting parts. Not only will you define the quality, metrology and process requirements but you will also be a part of defining how new manufacturing processes are being designed from the ground up.
In this highly visible role, you will have the opportunity to make a significant impact on Apple Products and leave a footprint for years to come. Our quality engineering team enables the mass creation of impossible products as a partner in the development of Apple's renowned designs. • Partner with tooling and functional teams to evaluate design and processes at the concept phase• Develop measurement technologies, control strategies, information systems, and manufacturing methods that achieve ambitious specifications at substantial production scale• Develop and implement groundbreaking quality inspection tools to evaluate cosmetic and dimensional part characteristics• Compile and evaluate data to determine appropriate limits and variables for process and part specification• Lead activities to balance unparalleled quality with scalable yields• Collaborate with internal and external groups to ensure that proper definition of quality expectations and that appropriate assurance techniques are used for the product• Establish audit procedures appropriate to program and supplier to ensure alignment to Apple quality standards• Evaluate and communicate yields of new and existing processes• Drive corrective actions with internal and external team members
- 5+ years of experience in manufacturing and Quality Control
- Travel internationally to supplier sites - 30%
- BS in Engineering (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Manufacturing systems engineering, or similar)
- Experience developing process quality plans, supplier quality audits, and driving corrective actions and failure analysis efforts.
- Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations.
- Experience with the development and evaluation of measurement systems
- Project management experience and a solid understanding of problem solving tools including design of experiments, root cause analysis and statistical analytical tools
- Experience with any of the following: mechanical enclosures, castings, plastic parts, injection molding, stamping, tooling, jigs, fixtures, or automotive high volume quality manufacturing engineering
- International experience, particularly in Asia is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
25.08.2025
A
Apple Manufacturing Quality Engineer - AirPods HomePod Enclosures United States, California, Cupertino
5+ years of experience with hands-on manufacturing experience, supplier management, and quality control (manufacturing quality statistical analysis, GD&T, metrology, design of experiments, etc). Ability to travel internationally to supplier sites...
תיאור:
- 5+ years of experience with hands-on manufacturing experience, supplier management, and quality control (manufacturing quality statistical analysis, GD&T, metrology, design of experiments, etc)
- Ability to travel internationally to supplier sites - 30%
- BS in Engineering (Mechanical, Electrical, Industrial, Manufacturing/Systems, Chemical Engineering or similar such as Industrial Technology, Materials Science, etc)
- Experience developing process quality plans, supplier quality audits, and driving corrective actions and failure analysis efforts
- Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations
- Experience with the development and evaluation of measurement systems
- Project management experience and a solid understanding of problem solving tools including design of experiments, root cause analysis and statistical analytical tools
- Experience with any of the following: mechanical enclosures, castings, plastic parts, injection molding, stamping, tooling, jigs, fixtures, or automotive high volume quality manufacturing engineering
- International experience, particularly in Asia, is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
24.08.2025
A
Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
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...
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.
Show more
24.08.2025
A
Apple Core Technologies Quality Engineer United States, California, Cupertino
Identify and drive quality improvement opportunities in future products. Lead Process FMEAs on new technologies and manufacturing processes. Conduct technical failure analysis to support root cause investigations. Generate and implement...
תיאור:
Core Technology Quality Engineers are responsible for driving quality improvement actions on future products. They enable a mass production capable manufacturing processes and develop plans to validate / verify new product quality at each development landmark. They approach problems in an engineering method and make data driven decision. Quality Engineers also bring up capable suppliers that can execute at a high level on an ongoing basis. This role requires an engineering mentality paired with data fluency and applied AI experimentation. You’ll leverage Python for analysis, use Tableau to visualize key performance indicators and build text-driven workflows that help engineers interpret, act on, and communicate quality data more efficiently.
- Identify and drive quality improvement opportunities in future products
- Lead Process FMEAs on new technologies and manufacturing processes
- Conduct technical failure analysis to support root cause investigations
- Generate and implement Product Quality Plans (PQPs)
- Establish quality monitoring mechanisms and metrics across the supply chain
- Build and maintain Python-based tools for data automation, transformation, and visualization
- Create Tableau dashboards for trend detection, anomaly flagging, and performance tracking
- Apply prompt engineering to design AI-powered workflows for smart search, RCA lookup, report summarization, and supplier interaction
- Pilot and refine agentic AI workflows that support test correlation, post-build analysis, and issue triage
- Ensure data foundations (ownership, labeling, quality) are established and maintained for manufacturability and analysis
- Collaborate with the in-house software/ML Ops team to validate and iterate on AI and automation concepts
- Gather and synthesize user feedback to continuously improve tool usability and adoption
- Travel internationally up to 25%
- Bachelors in Mechanical, Electrical, Materials Science, Industrial Engineering or a related field
- 5+ years of proven experience in high-volume manufacturing, quality engineering, or development of consumer electronics or components
- MS or PhD in Mechanical, Electrical, Materials Science or Industrial Engineering or equivalent
- Experience using Python for engineering analysis and workflow automation
- Familiarity with Data visualization tools such as Tableau or Power BI
- Prompt design for AI-assisted workflows aimed at summarizing technical information
- Experience working with SPC data, image inspection logs, defect classification, or reliability metrics
- Ability to partner with engineering, operations, and software teams
- Excellent communication and structured problem-solving skills
- Familiarity with manufacturing processes for components such as cameras, optics, haptics, inductive elements, or connectors
- Exposure to computer vision models or manufacturing image data
- Familiarity with agentic AI frameworks and applied prompt engineering for operational tools.
- Passion for real-world AI applications that enhance quality, speed, and scalability
- Experience with reliability modeling, DOE, and quality systems
- Interest in integrating AI-powered assistants into engineering workflows
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
03.08.2025
A
Apple Trust & Safety Threat Analyst/Risk Advisor United States, California, Cupertino
Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience. 3 years of experience in Trust and Safety, risk management, policy development,...
תיאור:
This role will: Proactive Risk Assessment & Mitigation: * Collaborate with product teams during planning stages to identify potential Trust and Safety risks associated with proposed features. * Actively participate in feature definition, providing input on mitigations and safety considerations from the outset. * Help evolve and apply our objective risk framework to assess and quantify the level of risk for well-defined features. * In-depth analysis and understanding of the UX and technical design of the feature, with a desire to test comprehensively the different functionalities and feasibility of proposed mitigations. * Develop and recommend optimal mitigation strategies, balancing user safety, trust, feature timelines, level of effort (LOE), and established precedents. * Maintain a comprehensive understanding of emerging threats and trends in online abuse, and apply this knowledge to risk assessments. Safety by Design & Principles: * Contribute to the development and evolution of a core set of Trust and Safety principles to guide product development and inform our safety-by-design practice. * Advocate for the integration of these principles into product development processes. * Work with leadership to ratify these principles and ensure their consistent application across the organization. * Effectively communicate complex Trust and Safety concepts to both technical and non-technical audiences, adapting your approach to meet the team's level of awareness and understanding. * Build trust and rapport with product managers, engineers, designers, and other partners by demonstrating emotional intelligence, understanding their constraints and objectives, and working collaboratively to find industry-leading solutions. * Facilitate constructive discussions about risk mitigation strategies, acknowledging the tradeoffs between safety, user experience, and business goals. * Document risk assessments, mitigation plans, and key decisions in a clear and concise manner. * Champion a culture of safety awareness throughout the product development organization. Continuous Improvement: * Stay informed about industry best practices and emerging technologies related to Trust and Safety. * Contribute to the development and refinement of our objective risk framework.
- Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience.
- 3 years of experience in Trust and Safety, risk management, policy development, product security or a related field.
- Strong understanding of online safety issues, including child safety, interpersonal safety, and other forms of online abuse.
- Excellent analytical and problem-solving skills, with the ability to identify and assess risks in complex systems.
- Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
- Demonstrated ability to balance user safety with business objectives and technical constraints.
- A pragmatic and solution-oriented attitude, with a willingness to compromise and find creative solutions.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience working directly with product development teams.
- Familiarity with product development methodologies.
- Knowledge of relevant laws and regulations related to online safety (e.g., DSA, OSA).
- Experience in developing and implementing Trust and Safety policies and procedures.
- Certifications in risk management or related fields.
- Experience presenting to leadership.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
03.08.2025
A
Apple Senior AI Data Scientist United States, California, Cupertino
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...
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.
Show more
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...
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.
Show more
משרות נוספות שיכולות לעניין אותך
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Data Quality Analyst - Siml Ise 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.