דרושים Sr Data Scientist - Marketplace Ad Platforms ב-אפל ב-United States, 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....

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.

משרות נוספות שיכולות לעניין אותך

Apple Natural Language Modeling Research Scientist Siri United States, California, Cupertino

Apple AIML - Natural Language Modeling Research Scientist United States, California, Cupertino

Google Research Scientist Natural Language Processing Google Israel, Tel Aviv District, Tel Aviv-Yafo

25.08.2025

Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino

שיתוף

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...

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.

משרות נוספות שיכולות לעניין אותך

25.08.2025

Apple Sr Manager Internal Tools & Operations WW United States, California, Cupertino

שיתוף

Develop and implement a vision for a new set of AI-driven internal operational tools that power the daily production of the App Store. Define and deploy business operations tools to...

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Develop and implement a vision for a new set of AI-driven internal operational tools that power the daily production of the App Store.
Define and deploy business operations tools to automate internal processes.
Serve as the thought-leader for our internal tools development by working in close collaboration with our Business, Engineering, and HI design teams.
Identify and deliver 3rd party platforms that help redefine and optimize our global workflows.
Collaborate with cross-functional leaders in Business, Product, Engineering and HI Design to evangelize the new internal tools' strategy.
Manage the internal tools product roadmap with our cross-functional partners.
Manage the ongoing needs of the store operations including identifying, testing, escalating, and fixing production issues with Engineering.
Have hands-on experience leading change across teams and processes.

10+ years of relevant experience building internal tools and operations for a global storefront / platform.
Experience working with and developing AI tools to optimize business eﬃciency.
Deep knowledge of the mobile app ecosystem with a fluency in backend operations and product-forward development experience.
BA/BS degree or equivalent experience in relevant field.

Strategic thinker with strong leadership skills and experience developing a vision for internal tools with business and engineering teams.
Familiar with current LLM ecosystem (OpenAI), prompting and prototyping tools (e.g. ChatGPT, Claude, Replit) and basics of SQL, Tableau, and Python.
Outstanding verbal and written business communications skills – expertise in building keynote narratives and delivering compelling presentations to senior leaders.
Excellent interpersonal skills; Highly motived, works well in a fast paced environment and provide ability to lead teams.
You have a bias towards action, a high sense of urgency, and a willingness to roll up your sleeves and get things done.
Strong understanding of iOS platform.

משרות נוספות שיכולות לעניין אותך

24.08.2025

Apple Sr Regulatory Compliance Engineer - Wireless United States, California, Cupertino

שיתוף

Bachelors or Master’s Degree in Engineering with 5 years of equivalent experience. 5 years working on RF-exposure/SAR compliance and standards. Strong experience with Regulatory Compliance Engineering. Solid understanding of wireless...

Apple's Regulatory Compliance Engineering offers this position, which focuses on SAR/RF exposure emanating from all wireless technologies in current and future Apple products.Managing RF exposure worldwide regulatory requirements. Coordinating cross-functionally to translate regulatory requirements into applicable test conditions.Managing worldwide regulatory approvals for RF exposure-related proprietary features. Driving these approvals for the United States and Canada. Coordinating cross-functionally to communicate regulatory requirements during feature development. Managing the enablement of proprietary RF exposure features per region worldwide. Coordinating cross-functionally to ensure proper power table implementation and design across areas.

Bachelors or Master’s Degree in Engineering with 5 years of equivalent experience
5 years working on RF-exposure/SAR compliance and standards
Strong experience with Regulatory Compliance Engineering
Solid understanding of wireless technologies related to SAR/RF exposure for FCC/ISED/worldwide, focusing on US and Canadian markets.
Hands-on testing experience for the above with standard professional test lab equipment and processes for certification knowledge of wireless architectures, communications protocols, regulatory requirements, and approval processes.
Working knowledge of WLAN, BT, NFC, WPT, Cellular, LTE, 5G, FR2, Satellite operational bands, and emerging technologies like 6G.
Knowledge of the US and international telecommunications regulations and standards.
Excellent communication skills — written and verbal with diverse audiences, from engineers to executives. Adaptable to both collaborative and independent work settings.
Thrives in fast-paced environments where attention to detail and quality are required.
Strong technical background in the required field.
Experience managing, organizing, and driving deliverables of complex projects with tight timelines.

Masters or PhD in Engineering with 5 years of equivalent experience
More than 5+ years of working experience, especially with the FCC/ISED regulatory process and certification.
The candidate is highly preferred to be an active member of a standards development group like TC106/ICNRP, which is related to the regulatory perspective.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

משרות נוספות שיכולות לעניין אותך

24.08.2025

Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino

שיתוף

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...

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

משרות נוספות שיכולות לעניין אותך

24.08.2025

Apple Sr Software Engineer Apple Pay United States, California, Cupertino

שיתוף

We are looking for solid software development skills in one or more general purpose languages such as Java, Kotlin or others. Experience with object oriented analysis and design. Experience with...

As a member of the Apple Pay server engineering team, you will build products that are used millions of users around the world. You will:- Architect, design and implement highly available and scalable systems- Analyze requirements, identify gaps and translate them into a technical design.- Collaborate closely with cross functional teams like Client Engineering, Radios/NFC, Security & Compliance, External Partners etc.- Write high quality, testable and performant code.

We are looking for solid software development skills in one or more general purpose languages such as Java, Kotlin or others.
Experience with object oriented analysis and design
Experience with client server development and API design.
Experience with Relational and NoSQL Databases.
BS degree in computer science or equivalent field

MS degree plus 4-5 years of software development experience or equivalent experience
Experience in building large-scale highly available distributed systems.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

משרות נוספות שיכולות לעניין אותך

03.08.2025

Apple Senior AI Data Scientist United States, California, Cupertino

שיתוף

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...

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.

AppleNatural Language Modeling Research Scientist Siri

משרות נוספות שיכולות לעניין אותך

1 2 3 4 5 6

United States, California, Cupertino

172653296

25.08.2025

שיתוף

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:

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.