מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
דרושים Business Intelligence Developer ב-אפל ב-United States, Seattle
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Business Intelligence Developer ב-United States, Seattle והצטרפו לרשת החברות המובילות בתעשיית ההייטק, כמו Apple. הירשמו עכשיו ומצאו את עבודת החלומות שלך עם אקספוינט!
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience. Up-to-date with the state of the art in machine learning and generative technologies as...
תיאור:
Key responsibilities include:* Developing strategies and algorithms for mining large amounts of data numbering in the billions for the purposes of targeted model training. * Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity.* Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error.* Synthesis of training data as well as synthesis of augmentations to real-world data.
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
Up-to-date with the state of the art in machine learning and generative technologies as an Applied Scientist, Data Scientist, or Machine Learning Researcher.
Proven experience in computer vision, language processing and data synthesis.
Strong ability in one or more programming languages, preferably Python.
Knowledge of, and proficiency with industry standard tools and methods for model training, statistical analysis and data science.
Makes significant hands-on contributions to algorithms and/or implementation.
Outstanding communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expert in Python/PyTorch programming. Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). Excellent communication...
תיאור:
* Research and develop ML optimization techniques for efficient on-device ML* Materialize the ideas/concepts and demonstrate the practical value in an industrial environment* Work with HW/SW teams to productize the outcome of the work
Expert in Python/PyTorch programming
Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc).
Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc).
Excellent communication and writing skills
Ph.D. in CS/CE or related fields
Experience with Large-scale model training/tuning
Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models.
Experience with backend compilation, HW/SW co-design, and/or performance optimization
Understanding ML accelerations and architectures
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience. Up-to-date with the state of the art in machine learning and generative technologies as...
תיאור:
Key responsibilities include:* Developing strategies and algorithms for mining large amounts of data numbering in the billions for the purposes of targeted model training. * Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity.* Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error.* Synthesis of training data as well as synthesis of augmentations to real-world data.
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
Up-to-date with the state of the art in machine learning and generative technologies as an Applied Scientist, Data Scientist, or Machine Learning Researcher.
Proven experience in computer vision, language processing and data synthesis.
Strong ability in one or more programming languages, preferably Python.
Knowledge of, and proficiency with industry standard tools and methods for model training, statistical analysis and data science.
Makes significant hands-on contributions to algorithms and/or implementation.
Outstanding communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
5+ years of increasing responsibility and relevant experience. Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field. Experience in Knowledge...
תיאור:
As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences.
5+ years of increasing responsibility and relevant experience
Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field.
Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields.
Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication
Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
MS or Ph. D in Computer Science or a related field
Deep understanding of machine learning and deep learning algorithms
Experience in LLM, machine learning, deep learning, information retrieval or natural language processing
Strong analytical and independent problem-solving skills
Experience working in cross-functional teams across product, design, and infrastructure
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Proficiency in C++ development. Passion for systems-level programming and security. Excellent software engineering, testing, and debugging ability. Strong communication and organizational skills. Experience developing low-level development tools (such as with...
תיאור:
Proficiency in C++ development
Passion for systems-level programming and security
Excellent software engineering, testing, and debugging ability
Strong communication and organizational skills
Experience developing low-level development tools (such as with one but not all of debuggers, profilers, language runtimes, or dynamic bug-finding tools)
Experience leading the technical development of larger features and collaborating across organizational boundaries
Experience with run-time analysis tools (such as Valgrind or LLVM sanitizers) or fuzzing tools is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Have an exposure to Decision Analysis (Applied Decision Theory) through coursework and work experience. Have an intuitive understanding of optimization methods and ML distinctions (classification models and how they are...
תיאור:
This role will require you to work closely with cross-functional teams such as Legal, Machine Learning, Analytics, Engineering, Product Management, Product Marketing, Legal, Fraud, and Finance. Responsibilities may include:You’ll love it here if you thrive in environments where introspective thought is valued just as highly as collaboration. Where quality matters over quantity. Where liberal arts meets technology.If you would like to apply, please submit the following:- Resume- Cover Letter highlighting each of the minimum qualifications and preferred qualifications
Have an exposure to Decision Analysis (Applied Decision Theory) through coursework and work experience
Have an intuitive understanding of optimization methods and ML distinctions (classification models and how they are evaluated)
Have strong familiarity with building Decision Analysis evaluation models and simulations
Demonstrated writing and speaking ability
Have a learn-and-grow mentality and want to be challenged in a nurturing and supportive environment
Master’s degree in a quantitative or technical field
Have an exposure to Apple’s ecosystem and an understanding of Digital Commerce.
Have experience applying a liberal arts lens on technology, specifically technology ethics
Have done Professional Decision Analysis for strategy evaluations and presented at the executive level
Have experience teaching Decision Analysis concepts
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Experience with full-stack web development (e.g. Django) and front-end JavaScript frameworks (e.g. Vue or other comparable frameworks such as React or Angular). Strong programming and software design skills in Python....
תיאור:
Key responsibilities:* Drive UI/front-end experiences for a ML benchmarking service in a fast-paced environment * Explore intelligent visualization and insights of on-device ML models* Play a key role in maintaining the health and performance of the ML benchmarking service, including debugging failures and addressing user questions / requests.* Collaborate extensively with ML and hardware teams across Apple.
Experience with full-stack web development (e.g. Django) and front-end JavaScript frameworks (e.g. Vue or other comparable frameworks such as React or Angular).
Strong programming and software design skills in Python.
Knowledge of ML fundamentals including training regimes, evaluation and deployment/inference.
A passion/interest for ML, particularly applied to on-device use cases.
Excellent collaboration and communication skills.
Masters or PhDs in Computer Science or relevant disciplines.
Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.) is a strong plus, particularly on-device ML frameworks such as CoreML, TFLite or ExecuTorch.
Back-end system skills including containers (docker), cloud orchestration (Kubernetes), database (SQL, Postgres)
Experience with standard ML architectures such as Transformers, CNNs or Stable Diffusion a strong plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience. Up-to-date with the state of the art in machine learning and generative technologies as...
תיאור:
Key responsibilities include:* Developing strategies and algorithms for mining large amounts of data numbering in the billions for the purposes of targeted model training. * Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity.* Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error.* Synthesis of training data as well as synthesis of augmentations to real-world data.
Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
Up-to-date with the state of the art in machine learning and generative technologies as an Applied Scientist, Data Scientist, or Machine Learning Researcher.
Proven experience in computer vision, language processing and data synthesis.
Strong ability in one or more programming languages, preferably Python.
Knowledge of, and proficiency with industry standard tools and methods for model training, statistical analysis and data science.
Makes significant hands-on contributions to algorithms and/or implementation.
Outstanding communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Business Intelligence Developer בחברת Apple ב-United States, Seattle. 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.