מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
דרושים Generative Ai Applied Researcher - Siml Ise ב-אפל ב-United States, California, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Generative Ai Applied Researcher - Siml Ise ב-United States, California, 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
California
Cupertino
נמצאו 137 משרות
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
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
02.08.2025
A
Apple Senior Applied Research Engineer - Multimodal Reasoning SIML United States, California, Cupertino
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience. 5+ years of industry experience working at the intersection...
תיאור:
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, 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. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
- M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
- 5+ years of industry experience working at the intersection of NLP and Vision machine learning
- Proven hands-on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment
- Proficiency in ML toolkit of choice, e.g., PyTorch
- Strong programming skills in Python
- Familiarity with distributed training
- Strong programming skills in C/C++ or ObjC
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
02.08.2025
A
Apple Software Engineer Applied ML United States, California, Cupertino
Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques. Data processing: Skilled in working with large, noisy datasets. Experience with libraries like NumPy, pandas,...
תיאור:
As part of this role, you'll join a team of software engineers and researchers focused on identifying behavioral patterns and you will help shape new and enhanced user experiences by collaborating closely with teams across sensing, Siri, and apps.Excited to take ownership of complex, end-to-end problems? You’ll design, build, and evaluate production ML systems that infer a device’s patterns by inference on date like GPS, Wi-Fi, and accelerometers and higher semantic signals — combining estimation techniques with machine learning. You’ll test and refine your work, use it yourself, track metrics, and iterate for quality.
- Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.
- Data processing: Skilled in working with large, noisy datasets.
- Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
- Experience shipping production software for mobile and/or other resource-constrained devices. Tight memory, CPU, and schedule constraints motivate you and ignite your creativity. Capability of creating, analyzing, and modifying SW functionality, ideally in C++/Obj-C/Swift codebases
- Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms. Classical estimation, signal processing, and/or training supervised ML models are relevant.
- Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.
- Having worked as an ML practitioner in an industrial setting
- Laser focus on customer impact and product experience.
- Deep Learning: Experience with CNNs, RNNs/LSTMs, Transformers, etc. depending on the application domain.
- Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization.
- Excellent communication, verbally and in writing. You can succeed in a collaborative environment, and are comfortable with what will sometimes feel like a high degree of uncertainty.
- You can innovate within tight memory, CPU, and schedule constraints, and deliver on time. These constraints motivate you, and ignite your creativity.
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
02.08.2025
A
Apple AI/ML - Build Integration Engineer United States, California, Cupertino
Proven technical expertise in software development with Java, Python, Swift or Objective-C. Experience with designing of Designing and Architecting tools and processes designed for integrating multiple projects with high interdependency....
תיאור:
This role will develop, as a Build and Integration Software Engineering, a number of solutions required to deliver successful AIML products. These include building new tools and develop new processes to improve the efficiency and effectiveness of our projects utilized for ML based products. This role requires building and implementing all necessary tools, APIs and infrastructure for ML based product qualification, defining tracking success metrics to keep our projects healthy. Equally, this role will participate in the AIML iOS products roadmap decisions, contributing insights and recommendations derived from the in-depth understanding of the current success metrics of AIML products.
- Proven technical expertise in software development with Java, Python, Swift or Objective-C.
- Experience with designing of Designing and Architecting tools and processes designed for integrating multiple projects with high interdependency.
- Provide multiple metrics that will help understand performances of code quality, build times and success.
- Extensive experience working and leveraging cross-functional partnerships.
- Ability to independently learn new technologies in a fast paced environment.
- Excellent understanding of an ML-based product lifecycle.
- Shown problem solving and debugging skills: analyze and investigate failures, errors, and build issues, able to properly drive issues to completion and support issues with data.
- Excellent verbal and written communications skills.
- Possess an outgoing and positive attitude to mobilize and lead others.
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
02.08.2025
A
Apple Senior Machine Learning Engineer Apple Services Engineering ... United States, California, Cupertino
BS in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields. 4+ years of experience working in the AI/ML field. Strong programming skills in Java, Scala, Python and...
תיאור:
You will use data driven analysis to ideate, evaluate and prioritize features, and conduct A/B Tests to ensure we objectively measure improvements. You will ensure successful delivery of features, code, data, and models to production. You will collaborate with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expected performance levels, globally in languages from Arabic to Vietnamese and everything in between! Key Responsibilities:* Inference Service Development: Design, develop, and deploy high-performance machine learning inference services with a focus on scalability and efficiency.* Big Data Pipeline Engineering: Build and maintain data processing pipelines to support model training and tuning across large datasets.* Model Training Pipeline Optimization: Manage and optimize GenAI & Machine Learning training pipelines to improve performance in distributed computing environments.* Areas of focus: Work on implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.
- BS in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- 4+ years of experience working in the AI/ML field.
- Strong programming skills in Java, Scala, Python and experience with ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar.
- Solid understanding of modern ML architectures, big data pipelines, and evaluation techniques.
- MS/PhD in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- 2+ years of experience working in the AI/ML field.
- Expertise in large-volume big data processing (batch or streaming) and experience with Apache Spark and Apache Flink .
- Familiarity with agentic workflows, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), and knowledge graphs.
- Strong communication skills and adept at working with cross functional partners to design cohesive engineering solutions that scale ML products for billions of users.
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
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.
Show more
משרות נוספות שיכולות לעניין אותך
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Generative Ai Applied Researcher - Siml Ise בחברת Apple ב-United States, California, 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.