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Materials Scientist jobs in United States, California, Cupertino
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Job title (1)
United States
California
Cupertino
82 jobs found
09.11.2025
A
Amazon Sr Data Scientist Annapurna Labs ML Acceleration Power Archi... United States, California, Cupertino
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Key job responsibilities Develop and maintain integrations using RESTful services, SOAP, and database connections Develop endpoints in systems (e.g. NetSuite) that connect to AWS Architect robust error management and control...
Description:
Preferred Qualifications
Description
Key job responsibilities
- Develop and maintain integrations using RESTful services, SOAP, and database connections
- Develop endpoints in systems (e.g. NetSuite) that connect to AWS
- Architect robust error management and control systems
- Conduct code reviews and maintain high code quality standards
- Create comprehensive technical documentationTechnical Expertise:
- Deep knowledge of AWS services, including: Lambda, S3, Redshift, API Gateway, CloudWatch, EventBridge, SQS, SNS, B2B Data Interchange
- Experience building APIs and system integrations
- Excellent background in systems integration and data processing
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with distributed systems at scalePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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06.09.2025
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Amazon Sr Applied Scientist Amazon Stores Finance Science United States, California, Cupertino
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Lead the research, design, and implementation of innovative AI solutions for Amazon Stores Finance. Drive the technical vision for applying AI to transform critical areas across Financial Analysis, Forecasting, and...
Description:
BASIC QUALIFICATIONS
DESCRIPTION
Key job responsibilities
• Lead the research, design, and implementation of innovative AI solutions for Amazon Stores Finance
• Drive the technical vision for applying AI to transform critical areas across Financial Analysis, Forecasting, and Controllership
• Develop novel approaches to automate and enhance risk analysis processes using state-of-the-art language models
• Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation
• Mentor and guide junior scientists while fostering a culture of innovation
• Design and implement evaluation frameworks to measure the impact of AI solutions
A day in the life
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
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25.08.2025
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Apple Natural Language Modeling Research Scientist Siri United States, California, Cupertino
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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....
Description:
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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25.08.2025
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Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
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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...
Description:
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
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Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
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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...
Description:
- 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
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Apple Senior AI Data Scientist United States, California, Cupertino
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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...
Description:
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
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Apple Senior Machine Learning Engineer / Scientist Experimentation United States, California, Cupertino
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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+...
Description:
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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Share
Key job responsibilities Develop and maintain integrations using RESTful services, SOAP, and database connections Develop endpoints in systems (e.g. NetSuite) that connect to AWS Architect robust error management and control...
Description:
Preferred Qualifications
Description
Key job responsibilities
- Develop and maintain integrations using RESTful services, SOAP, and database connections
- Develop endpoints in systems (e.g. NetSuite) that connect to AWS
- Architect robust error management and control systems
- Conduct code reviews and maintain high code quality standards
- Create comprehensive technical documentationTechnical Expertise:
- Deep knowledge of AWS services, including: Lambda, S3, Redshift, API Gateway, CloudWatch, EventBridge, SQS, SNS, B2B Data Interchange
- Experience building APIs and system integrations
- Excellent background in systems integration and data processing
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with distributed systems at scalePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Show more
These jobs might be a good fit
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