המקום בו המומחים והחברות הטובות ביותר נפגשים
דרושים Ml Research Scientist ב-אפל ב-ארהב
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Ml Research Scientist ב-United States 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
עיר
נמצאו 625 משרות
09.09.2025
A
Apple Senior Data Scientist - Experimentation United States, West Virginia
תיאור:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- 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.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
משרות נוספות שיכולות לעניין אותך
09.09.2025
A
Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
תיאור:
- 7+ years of coding skills
- Background in computer science: algorithms and data structures
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production
- Excellent interpersonal skills able to work independently as well as in a team
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
09.09.2025
A
Apple Senior Data Scientist - Business Analytics United States, West Virginia
תיאור:
- Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance.
- Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements.
- Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy.
- Lead the inventory management process and develop a comprehensive strategy, defining the supply availability at various News/Media topics.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.
- 8+ years of Business Analytics or News/Media advertising experience.
- Strong data analysis skills to conduct deep dives by applying data science to generate actionable insights.
- Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
- Demonstrated ability to collaborate with advertisers to design tests to demonstrate effectiveness of Apple Ads, collaborate with sales and product leadership to manage ads inventory, and collaborate with product leadership to solve challenging product problems.
- Proficiency in SQL, python and familiarity with data stores such as Hadoop and Snowflake.
- Bachelor's degree in a related field of study, or equivalent industry experience.
- 11+ years of Business Analytics or News/Media advertising experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
09.09.2025
A
Apple ML Engineer - Evaluation Automation Siri AI Quality Engineer... United States, West Virginia
תיאור:
Apple has an extraordinary reputation for product quality. We are looking for a versatile Machine Learning Engineer with a strong background in Large Language Models (LLMs) to build the next generation ML evaluation frameworks and tools. In this role, you will use LLMs and other ML techniques to help automate large-scale data generation and evaluation job execution on server or on device, build LLM judges, detect anomalies, and streamline ML evaluation workflows. This is a high-impact role where you'll work at the intersection of AI/ML, conversational agents, information retrieval, software engineering, and ML evaluation, helping us push the boundaries of how AI can transform ML evaluation.
Design and develop machine learning and LLM-based solutions for ML model and system evaluation use cases such as: - Automatic large scale data generation - Automatic UI and Non UI test evaluation - Run evaluation jobs at scale - Build and optimize LLM judges - Intelligent log summarization and anomaly detection - Continuously evaluate and improve model performance through A/B testing, human feedback loops, and retraining- Monitor advances in LLMs and NLP and propose innovative applications within the ML evaluation domain
- 3+ years of proven ability in machine learning, including hands-on work with LLMs.
- Strong programming skills in Python and experience with ML/NLP libraries
- Experience building or fine-tuning LLMs for software engineering tasks
- Understanding of prompt engineering, and retrieval-augmented generation (RAG)
- Experience developing LLM based automated evaluation frameworks
- Excellent knowledge of software testing methodologies & practices
- Experience in Swift/XCTest/XCUITest is preferred
- Ability to thrive in a collaborative working environment within your team and beyond
- Ability to triage problems, prioritize accordingly, and propose resolutions
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
09.09.2025
A
Apple AIML - ML Researcher Foundation Models United States, West Virginia
תיאור:
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see you ideas not only published in papers, but also improve the experience of billions of users.
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- Ability to work in a collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Web-scale information retrieval
- Human-like conversation agent
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
09.09.2025
A
Apple Speech Scientist / Engineer Interspeech United States, West Virginia
תיאור:
- Strong machine learning background in speech and/or language/text/dialogue processing field
- In-depth hands-on experience in deep learning
- Strong software engineering abilities, ideally C++, Java, and/or Python
- Passion for building research demo prototypes and turning them into production quality design/implementation
- Experience with deep learning toolkits, e.g. Tensorflow, PyTorch
- Experience with speaker recognition and related technologies
- Curious about new technologies and passionate about exploring new use cases
PhD, MS, or BS in Machine Learning, Computer Science, or related fields.
Expand
09.09.2025
A
Apple Sr Regulatory Engineering Project Manager - AI/ML PACE United States, West Virginia
תיאור:
You will drive Strategic Regulatory progress inclusive of tracking AI/ML standards/regulations and their impact to Apple’s business.You will develop, refine and uphold project schedules needed to ensure the continued development of our internal regulatory tracker.You will oversee issue and priority management efforts among Engineering Program Managers to drive data-driven decisions impacting product integrity, and ultimately Apple as a whole. You will be responsible for communicating and delivering briefings and updates to senior engineering management and executives to enable rapid decision-making within Apple’s product development life cycle.You will be working closely with cross-functional engineering and operations teams to develop plans to ensure compliance to required standards and regulations. You will manage key project management collaborative, tracking, and communications tools and systems; administer effective use of those systems to ensure established processes are followed.You will continually innovate in EPM process improvements and ensure the highest levels of project execution and rigor.You will support regulatory advocacy and engagements discussions (both internally and externally), influencing outcomes consistent with our priorities and strategies.You will create and collaborate to create strategies for regulatory delivery, advocacy, and principles working cross functionally across Apple and with key external partners or influencers.
- You possess strong technical intuition and are familiar with AI/ML systems and components such as LLMs, RAG, and/or agents. You can participate in technical discussions and are eager to grow your technical understanding in this rapidly evolving landscape.
- Proven SW EPM experience, deep understanding of iterative solutions, launching products, driving product development cycles, and fostering software development principles.
- Passion for AI/ML with the ability to articulate its value to both technical and non-technical audiences, driving adoption across diverse stakeholders.
- Strong overall experience in the AI/ML regulatory domain with broad understanding of regulations, advocacy, standards, and overall ability to interpret regulations for product and schedule impact.
- Great ability to synthesize AI/ML regulations into strategies for product delivery roadmaps.
- Exceptional collaborative leadership style with innate understanding of product development and sense of drive to deliver impeccable product experiences.
- Exceptional SW program/project manager with impeccable organizational skills and attention to details, with at least 7 years of experience.
- Demonstrated skills in project management tools, schedule development/management, and leadership experience.
- Ability to grasp complex design and process problems, while distilling them to their barest essences.
- Proven ability to work cross-functionally, harness the powers of teamwork, and relate to myriad technical partners.
- Highly effective communicator, using both in spoken and written forms; sharp interpersonal skills who understand how to communicate across varied audiences in a climate of debate.
- Sound executive presence with the strong ability to communicate at the senior leadership levels.
- Strong hunger factor and courageous spirit with a proclivity towards action and creative problem-solving.
- Calm under fire, high resilience and interest in complex problem-solving within a challenging and fast-paced environment.
- Ability to travel unrestricted, up to 10% of the time. Our work requires periodic travels to address anticipated (and unanticipated) project demands.
- B.S. in Computer Science, Data Science, or Computer Engineering.
- M.S. or PhD in Computer Science, Data Science, or Computer Engineering degree with 7+ years of experience in a related field or industry.
- Experience in international and/or regional AI/ML standards/regulations, and/or government affairs are a big plus.
- If you have experience in one or more of the following regulatory domains: Ecodesign, Product Environmental & Chemical Compliance, Biocompatibility, and Packaging Regulations, please apply.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
תיאור:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- 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.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
משרות נוספות שיכולות לעניין אותך
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Ml Research Scientist בחברת Apple ב-United States. 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.