המקום בו המומחים והחברות הטובות ביותר נפגשים
דרושים Aiml - Ml Researcher Foundation Models Responsible Ai ב-אפל ב-United States, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Aiml - Ml Researcher Foundation Models Responsible Ai 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 276 משרות
25.08.2025
A
Apple AIML-Software Development Engineer Measurement United States, California, Cupertino
Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead. Experience in building large scale data processing and distributed systems using...
תיאור:
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML operations.Architect and implement scalable backend systems that support measurement and inference and optimization efforts, ensuring performance and reliability.Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions.Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.Provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.
- Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
- Experience with cloud platforms such as: AWS, GCP, or Azure
- Experience with SQL / NoSQL databases and embedding data stores
- Proficiency in programming languages such as Python, Java, or Go
- Proven track record of building high-quality, highly scalable backend software systems.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
- Ability to tackle complex challenges, think critically, and deliver innovative solutions.
- Bachelors in Computer Science, engineering, or a related field
- Advance degrees in Computer Science, engineering, or a related field
- Experience with complex multi-sensor perception systems and visualization
- Experience with Machine Learning platforms
- Familiarity with ML tools and frameworks
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 AIML - Engineering Program Manager Developer Tools United States, California, Cupertino
At least 3-5 years experience in software project/product management. Bachelor's degree in software engineering, computer science, or a related field. Knowledge of software engineering standard methodologies and related dependencies. Strong...
תיאור:
In this capacity, you will partner with leaders as well as a diverse set of team members to build and deliver AI-powered software initiatives according to Apple’s high standards. You will be responsible for cross-functional alignment, project planning, tracking, execution, and reporting, while also overseeing service qualification, deployment, and operations. You will proactively identify, prioritize, and drive the resolution of program issues by communicating new feature initiatives, top issues, risks, and critical achievements to executive leadership. - Create and maintain detailed project plans, schedule, and status documentation - Bring together and collaborate with cross-functional stakeholder groups. - Serve as a liaison to communicate information regarding requirements, changes, milestones reached, and other pertinent information. - Present and communicate new feature initiatives, top issues, risks, and critical achievements to executive leadership. - Drive focus to critical path deliverables and track execution of dependencies. - Proactively identify risks to software delivery, develop mitigation strategies, and facilitate resolutions.
- At least 3-5 years experience in software project/product management
- Bachelor's degree in software engineering, computer science, or a related field.
- Knowledge of software engineering standard methodologies and related dependencies
- Strong leadership skills including the ability to build positive relationships and influence others
- Excellent spoken and written communication to tailor communication style to multiple audiences
- Organization and multi-tasking skills with phenomenal attention to detail
- Experience shipping ML-powered products
- Thorough understanding of the software development lifecycle
- Knowledge of running a cloud service end to end
- Planning for large-scale projects while acting as central point of contact
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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משרות נוספות שיכולות לעניין אותך
25.08.2025
A
Apple AI Evaluation Engineer - Health United States, California, Cupertino
Bachelors in Computer Science, Data Science, Statistics, or a related field; or equivalent experience. Proficiency in Python and ability to write clean, performant code and collaborate using standard software development...
תיאור:
In this role, you will be at the forefront of developing and validating evaluation methodologies for Generative AI systems in health and wellbeing applications. You will design comprehensive human annotation frameworks, build automated evaluation tools, and conduct rigorous statistical analyses to ensure the reliability of both human and AI-based assessment systems. Your work will directly impact the quality and trustworthiness of AI features by creating scalable evaluation pipelines that combine human insight with automated validation.
In this role you will: - Design and implement evaluation frameworks for measuring model performance, including human annotation protocols, quality control mechanisms, statistical reliability analysis, and LLM-based autograders to scale evaluation- Apply statistical methods to extract meaningful signals from human-annotated datasets, derive actionable insights, and implement improvements to models and evaluation methodologies- Analyze model behavior, identify weaknesses, and drive design decisions with failure analysis. Examples include, but not limited to: model experimentation, adversarial testing, creating insight/interpretability tools to understand and predict failure modes.- Work across the entire ML development cycle, such as developing and managing data from various endpoints, managing ML training jobs with large datasets, and building efficient and scalable model evaluation pipelines- Independently run and analyze ML experiments for real improvements
- Bachelors in Computer Science, Data Science, Statistics, or a related field; or equivalent experience
- Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices
- Experience in building data and inference pipelines to process large scale datasets
- Strong statistical analysis skills and experience validating data quality and model performance
- Experience with applied LLM development, prompt engineering, chain of thought, etc.
- MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields
- Experience with LLM-based evaluation systems and synthetic data generation techniques, and evaluating and improving such systems
- Experience in rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis
- Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products
- Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders
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 Senior Machine Learning Engineer Lead AI Agents United States, California, Cupertino
8+ years of software development or machine learning experience. M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience. 4+ years of experience in...
תיאור:
As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple. Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
- 8+ years of software development or machine learning experience.
- M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
- 4+ years of experience in a technical leadership role.
- Strong programming skills in Python and applied experience with a range of LLMs.
- Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
- Hands-on experience developing, deploying, and operating AI agents in production.
- Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
- A portfolio of deployed agentic systems that have delivered significant, measurable impact.
- Experience in evaluation frameworks for AI agents.
- Proven expertise in optimizing AI agents for latency, scalability, and cost.
- A track record of thought leadership or contributions to the field of agentic AI.
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
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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משרות נוספות שיכולות לעניין אותך
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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משרות נוספות שיכולות לעניין אותך
Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead. Experience in building large scale data processing and distributed systems using...
תיאור:
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.
You’ll play a pivotal role in driving the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact, working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML operations.Architect and implement scalable backend systems that support measurement and inference and optimization efforts, ensuring performance and reliability.Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions.Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.Provide technical leadership and mentorship to junior engineers, fostering a culture of excellence and continuous improvement.
- Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
- Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
- Experience with cloud platforms such as: AWS, GCP, or Azure
- Experience with SQL / NoSQL databases and embedding data stores
- Proficiency in programming languages such as Python, Java, or Go
- Proven track record of building high-quality, highly scalable backend software systems.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
- Ability to tackle complex challenges, think critically, and deliver innovative solutions.
- Bachelors in Computer Science, engineering, or a related field
- Advance degrees in Computer Science, engineering, or a related field
- Experience with complex multi-sensor perception systems and visualization
- Experience with Machine Learning platforms
- Familiarity with ML tools and frameworks
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 Aiml - Ml Researcher Foundation Models Responsible Ai 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.