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דרושים Economist Ml Data Scientist - Solutions & Initiatives ב-אפל ב-United States, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Economist Ml Data Scientist - Solutions & Initiatives 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 271 משרות
25.08.2025
A
Apple Natural Language Modeling Research Scientist Siri United States, California, Cupertino
5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech. Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment....
תיאור:
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
- 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech
- Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment
- Experience delivering ML capabilities into great products
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong programming skills in Python, C and C++
- JAX (nice to have)
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
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.
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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.
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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.
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03.08.2025
A
Apple Senior Machine Learning Engineer / Scientist Experimentation United States, California, Cupertino
Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement. Building and deploying Machine Learning models to production using data processing tools including Spark. 10+...
תיאור:
Ads ML Experimentation team is seeking a Senior Machine Learning Engineer / Scientist who will help drive innovation. This is a hands-on role for developing & supporting product features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analysis, measure performance and make data-driven decisions.
- Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement.
- Building and deploying Machine Learning models to production using data processing tools including Spark.
- 10+ years of experience in application development with an in-depth understanding of data structures and algorithms.
- Proficiency in computer languages, including Python, Java, and Scala, to support Machine Learning components.
- Familiarity with causal machine learning tools and technologies
- Using database languages (SQL and NoSQL) to build applications.
- Using alerting and observability tools, including DataDog or Splunk, to monitor systems in production.
- Optimizing system performance using data structures and algorithms.
- Experience with software development using one of the following programming languages: Java, Scala, Rust, GoLang, Python.
- Deep understanding of the full software development lifecycle.
- Skilled at operating in a cross-functional organization.
- Familiarity with simulation tools and technologies
- Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Degree in Computer Science, Statistics, Applied Math, or a related field (Bachelor’s, Master’s, or PhD).
- 10+ years of industry experience building scalable applications.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Prior experience with advanced statistical and causal inference is a huge plus.
- Experience collaborating with UX designers to prototype the user experience during the design phase.
- Prior experience in building highly performative Experimentation systems is a huge plus.
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 - Sr Engineering Program Manager ML Compute Infrastruct... United States, California, Cupertino
5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture. Demonstrated ability to define vision and lead cross-functional execution in highly technical domains. MS/PhD in EE,...
תיאור:
- As a key EPM of the AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will lead technical evaluations of emerging accelerator technologies (GPUs, TPUs, and custom silicon), balancing power, performance, cost, and compatibility to ensure infrastructure decisions are forward-looking and cost-efficient- Own cross-functional execution of capacity integration efforts — aligning hardware procurement, rack deployment, networking, and software readiness to ensure seamless delivery at scale- Translate ML platform and model training requirements into concrete infrastructure programs, ensuring technical risks are anticipated and mitigated early
- 5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture
- Demonstrated ability to define vision and lead cross-functional execution in highly technical domains
- MS/PhD in EE, CS, Systems Engineering, or equivalent work experience
- Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers
- Strong understanding of large-scale compute architecture and capacity planning for ML workloads
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments
- Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling
- Experience managing data center expansion programs or deploying high-density compute for ML
- Strong competence in price/performance parity analysis for hardware procurement decisions
- Advanced technical degree and/or deep infrastructure consulting background
- Prior experience scaling ML infrastructure in hybrid or on-prem environments
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
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,...
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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5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech. Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment....
תיאור:
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
- 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech
- Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment
- Experience delivering ML capabilities into great products
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong programming skills in Python, C and C++
- JAX (nice to have)
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 Economist Ml Data Scientist - Solutions & Initiatives 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.