מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
דרושים Aiml - Ml Researcher Safety & Red Teaming ב-אפל ב-United States, Cupertino
מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Aiml - Ml Researcher Safety & Red Teaming 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 243 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.
Show more
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.
Show more
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.
Show more
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.
Show more
משרות נוספות שיכולות לעניין אותך
03.08.2025
A
Apple Trust & Safety Threat Analyst/Risk Advisor United States, California, Cupertino
Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience. 3 years of experience in Trust and Safety, risk management, policy development,...
תיאור:
This role will: Proactive Risk Assessment & Mitigation: * Collaborate with product teams during planning stages to identify potential Trust and Safety risks associated with proposed features. * Actively participate in feature definition, providing input on mitigations and safety considerations from the outset. * Help evolve and apply our objective risk framework to assess and quantify the level of risk for well-defined features. * In-depth analysis and understanding of the UX and technical design of the feature, with a desire to test comprehensively the different functionalities and feasibility of proposed mitigations. * Develop and recommend optimal mitigation strategies, balancing user safety, trust, feature timelines, level of effort (LOE), and established precedents. * Maintain a comprehensive understanding of emerging threats and trends in online abuse, and apply this knowledge to risk assessments. Safety by Design & Principles: * Contribute to the development and evolution of a core set of Trust and Safety principles to guide product development and inform our safety-by-design practice. * Advocate for the integration of these principles into product development processes. * Work with leadership to ratify these principles and ensure their consistent application across the organization. * Effectively communicate complex Trust and Safety concepts to both technical and non-technical audiences, adapting your approach to meet the team's level of awareness and understanding. * Build trust and rapport with product managers, engineers, designers, and other partners by demonstrating emotional intelligence, understanding their constraints and objectives, and working collaboratively to find industry-leading solutions. * Facilitate constructive discussions about risk mitigation strategies, acknowledging the tradeoffs between safety, user experience, and business goals. * Document risk assessments, mitigation plans, and key decisions in a clear and concise manner. * Champion a culture of safety awareness throughout the product development organization. Continuous Improvement: * Stay informed about industry best practices and emerging technologies related to Trust and Safety. * Contribute to the development and refinement of our objective risk framework.
- Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience.
- 3 years of experience in Trust and Safety, risk management, policy development, product security or a related field.
- Strong understanding of online safety issues, including child safety, interpersonal safety, and other forms of online abuse.
- Excellent analytical and problem-solving skills, with the ability to identify and assess risks in complex systems.
- Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
- Demonstrated ability to balance user safety with business objectives and technical constraints.
- A pragmatic and solution-oriented attitude, with a willingness to compromise and find creative solutions.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience working directly with product development teams.
- Familiarity with product development methodologies.
- Knowledge of relevant laws and regulations related to online safety (e.g., DSA, OSA).
- Experience in developing and implementing Trust and Safety policies and procedures.
- Certifications in risk management or related fields.
- Experience presenting to leadership.
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
03.08.2025
A
Apple Lead Trust & Safety Intelligence Engineer United States, California, Cupertino
10+ years of combined experience demonstrating expertise in both advanced data analysis/business intelligence roles and legal analysis/advisory roles. This includes significant tenure working with regulatory compliance, legal operations, policy analysis,...
תיאור:
As a Lead Trust & Safety Intelligence Engineer on the Services Data Science & Analytics team, you will operate at the critical intersection of data science and legal analysis. You will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive findings to drive informed decisions within legal and regulatory contexts. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.We are looking for you to collaborate with Legal, Regulatory, and Trust & Safety teams in a data advisory capacity. This involves deeply understanding the cases and RFIs being assessed, determining what data is required, making recommendations on responses, and then compiling the data for production accordingly. Often you will closely partner with our data science & analytics peers on metrics, datasets, and expanding the automation around legal and regulatory initiatives. Your work may involve analyzing patterns of policy violations, user behavior risks, content moderation effectiveness, or fraud prevention data to inform strategic decisions.Extensive collaboration with Legal, Compliance, Competition, Law Enforcement, Trust & Safety, as well as Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key cases, influence how our Services data is structured and shared, and be responsible for the accuracy and quality of the advisory and productions. Over time, you will establish and socialize a comprehensive roadmap to communicate and manage legal stakeholder expectations while enabling org-wide transparency on progress.This role will require extensive experience taking complex, multifaceted legal projects from initial inquiry to data production. Ideally, you have a curious mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We’re looking for someone known for effectively bridging analytics and business/legal teams, with an ability to masterfully speak the language of both.
- 10+ years of combined experience demonstrating expertise in both advanced data analysis/business intelligence roles and legal analysis/advisory roles. This includes significant tenure working with regulatory compliance, legal operations, policy analysis, user safety, fraud prevention, data analysis/operations, or similar legal-centric functions, where data was a core component of the analysis or advisory.
- Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets specifically to address complex legal, compliance, user safety, or regulatory questions.
- Demonstrated experience with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of legal/compliance reporting.
- Exceptional written and verbal communication, presentation, and advisory skills, with the proven ability to translate complex data insights and intricate legal concepts for diverse audiences, including legal counsel, executive leadership, and technical teams.
- Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility.
- BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
- Extensive experience applying data analytics and business intelligence within a legal or compliance department, with a focus on areas such as regulatory reporting, competition analysis, intellectual property, privacy, consumer protection, litigation support, trust & safety operations, and policy enforcement.
- Experience in a fast-paced technology company, digital subscription business, or large-scale e-commerce platform, navigating complex data ecosystems and evolving regulatory landscapes.
- Advanced proficiency with Python, R, or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation, statistical analysis, and machine learning applications in a legal context.
- MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field.
- A Law Degree (JD/LL.B) or paralegal certification, combined with a relevant analytical degree.
- Familiarity with legal research databases and tools (e.g., Westlaw, LexisNexis) and experience integrating data from these sources for analytical purposes.
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
02.08.2025
A
Apple AIML - Sr Engineering Program Manager ML Compute Infrastruct... United States, California, Cupertino
5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture. Demonstrated ability to define vision and lead cross-functional execution in highly technical domains. MS/PhD in EE,...
תיאור:
- As a key EPM of the AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will lead technical evaluations of emerging accelerator technologies (GPUs, TPUs, and custom silicon), balancing power, performance, cost, and compatibility to ensure infrastructure decisions are forward-looking and cost-efficient- Own cross-functional execution of capacity integration efforts — aligning hardware procurement, rack deployment, networking, and software readiness to ensure seamless delivery at scale- Translate ML platform and model training requirements into concrete infrastructure programs, ensuring technical risks are anticipated and mitigated early
- 5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture
- Demonstrated ability to define vision and lead cross-functional execution in highly technical domains
- MS/PhD in EE, CS, Systems Engineering, or equivalent work experience
- Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers
- Strong understanding of large-scale compute architecture and capacity planning for ML workloads
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments
- Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling
- Experience managing data center expansion programs or deploying high-density compute for ML
- Strong competence in price/performance parity analysis for hardware procurement decisions
- Advanced technical degree and/or deep infrastructure consulting background
- Prior experience scaling ML infrastructure in hybrid or on-prem environments
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
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 Safety & Red Teaming 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.