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Aiml - Senior Ml Engineering Manager Evaluation & Analytics jobs at Apple in United States, New York

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99 jobs found
26.08.2025
A

Apple Software Engineer Data Engineering United States, New York, New York

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25.08.2025
A

Apple Apple Card Product Manager United States, New York, New York

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Description:
You should have significant experience building and launching consumer products, passion for helping users achieve a healthier financial life and familiarity with financial services and payments. You will be expected to guide teams leading complex, cross-functional projects and drive progress by diving into technical details when needed. You should combine technical proficiency, a strong sense of user experience, tact and business insight. You should have excellent presentation abilities and be able to drive a concrete vision and requirements that rally the team and ultimately, delight customers.
  • 6+ years experience in Product Management roles, including at least one entire product development cycle from concept to launch
  • Ability to dive into technical details and designs including large-scale service architectures and app/web platforms
  • Ability to communicate effectively, across all levels of the organization, including the ability to communicate technical concepts to non-technical audiences
  • Lead end-to-end product strategy and execution across critical stages of the Apple Card customer lifecycle
  • Product leader with proficiency in financial services or fintech; credit card domain expertise is highly desirable
  • Proven experience launching and scaling customer-focused products, including go-to-market and communication strategies
  • Strong collaborator with technical, operations, credit, fraud, and security teams to develop and support API-based products with complex integrations
  • Skilled communicator and influencer who can distill complex business and technical topics to drive alignment across executives and cross-functional teams globally
  • Effective problem solver with the ability to structure ambiguous situations and drive actionable insights
  • Hands-on experience with data analytics and reporting tools to measure customer engagement and improve portfolio performance
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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25.08.2025
A

Apple AIML - Machine Learning Researcher Foundation Models United States, New York, New York

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Description:
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. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions 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
  • 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
  • Ability to work in a collaborative environment
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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25.08.2025
A

Apple AIML - Annotations Account & Program Manager Data Operations United States, New York, New York

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Description:
As a top-tier program manager with exceptionally high EQ, you love working with people across technical and non-technical domains to solve problems and deliver results. In this role, you’ll have a chance to lean on all of your soft skills and technical background while you engage with teams across Apple’s ecosystem who are working on innovative machine learning technology. You will work across numerous groups in the operations, engineering, and business teams to build a program that will deliver annotated data to your customers, meeting their requirements. You will act as the overall program manager ensuring follow-through on many operational projects, from prototyping to scaling across global teams to QA. You will work with the data analytics and capacity planning team to inform future annotations capacity requirements. Ultimately, you will be responsible for ensuring the satisfaction of your customers by delivering annotated data within all specified dimensions, and by working collaboratively to tackle problems as they arise, gaining your customer’s trust and confidence.
  • 10+ years of experience managing projects or programs including large, cross-functional initiatives across global teams.
  • Experience in customer-facing roles with emphasis on customer satisfaction.
  • Superb communication skills, both written and verbal. Can clearly articulate pointed questions to disambiguate strong customer requests from true customer requirements.
  • Skills for understanding and consolidating multiple points of view into an influential recommendation to move projects forward.
  • Excellent in teamwork and relationship building. Works to establish a collaborative working environment. Will go above and beyond to get the job done.
  • Follows through on commitments exhibiting a high degree of ownership and accountability.
  • Strategic problem solver, continually looking for ways to increase productivity and decrease confusion for customers and operations teams.
  • Self-directed and proactive. You thrive in an ambiguous and fast-paced environment.
  • Experience working with annotated data and ML researchers 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.
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24.08.2025
A

Apple Manager Incident Response Service Reliability United States, New York, New York

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Description:
As the manager for the Incident Response and Service Reliability Team, you will lead the team responsible for Apple Wallet’s real-time incident response program. You will define and operate the processes for detecting, triaging, prioritizing, and mitigating service-impacting incidents. You will drive the proactive identification of recurring issues, lead root cause analysis, and partner with engineering to implement long-term fixes that reduce risk and improve reliability. Through close collaboration with engineering, infrastructure, SRE, and product teams, you will ensure that incidents are handled with urgency, communication is clear, and issues are addressed at the root.
  • Define and own the strategic vision for incident and problem management, integrating tooling, response structure, and continuous improvement across engineering.
  • Lead the end-to-end incident response program, including severity classification, escalation protocols, stakeholder communication, and real-time coordination.
  • Own the problem management function by identifying systemic issues, driving root cause analysis, and partnering with engineering to implement long-term fixes.
  • Manage a team of incident and problem managers, setting priorities, execution standards, and development goals.
  • Define and track operational health metrics (e.g., MTTD, MTTM, MTTR), and drive improvements in detection, mitigation, and recovery timelines.
  • Oversee the adoption and evolution of incident tooling- e.g. monitoring, alerting, automation, documentation, and reporting.
  • Facilitate blameless post-incident reviews (PIRs) that result in clear accountability, cross-functional alignment, and durable outcomes.
  • Instill a culture of operational learning and resilience, drive systemic and architectural improvements to reduce incident volume, minimize customer impact, and increase operational resilience.
  • Bachelor’s degree or equivalent practical experience.
  • 8+ years of experience in incident management, technical program management, or SRE/infra leadership roles.
  • Demonstrated experience building or scaling an incident management program in a production or customer-facing environment.
  • Proven ability to define, measure, and influence operational metrics (MTTD, MTTR, etc.).
  • Strong cross-functional collaboration skills, particularly with engineering, product, and executive stakeholders.
  • Excellent communication skills under pressure, with the ability to drive clarity and urgency.
  • Experience with incident tooling (e.g., PagerDuty, Opsgenie, Slack bots, observability platforms).
  • Experience working in payments, banking, or other financial services companies in a developer role (SRE, DevOps or other engineering experience).
  • Experience leading incident programs across global teams or regulated environments.
  • Background in high-availability systems, payments infrastructure, or customer-critical services.
  • Familiarity with root cause analysis frameworks, postmortem facilitation, and chaos testing.
  • Experience integrating incident workflows with observability and BI platforms (e.g., Datadog, Grafana, Tableau).
  • Experience driving change in cross-functional or matrixed organizations.
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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04.08.2025
A

Apple US-Manager United States, New York, New York

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Description:
Perform other tasks as needed.
  • You should:
  • Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations.
  • Be proficient in written and spoken English (sign language supported).
  • Have experience leading others in retail, sales, or a related field.
  • You can:
  • Exceed goals successfully, and persist in accomplishing objectives despite obstacles and setbacks.
  • Follow through on commitments and establish mechanisms to encourage others to do the same.
  • Instill trust within the team and operate with a high level of integrity.
  • Make timely and sound decisions by asking questions and using analytics, experience, and judgment.
  • Communicate with excellence, and tailor your communication style to different audiences.
  • Develop others through mentorship, coaching, and effective feedback.
  • Provide support and guide others through challenges while remaining calm in a fast-paced and constantly changing retail environment.
  • Resolve conflict and settle differences in productive ways.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $44.22 and $66.35/hr, and your base pay will depend on your skills, qualifications, experience, and location.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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Description:
You should have 3+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond.
  • 3+ years of industry experience building scalable data pipelines and data platforms
  • Strong computer science and data engineering fundamentals
  • Expertise in programming languages such as Python/Java/Scala
  • Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
  • Expertise in relational databases and SQL
  • Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
  • Experience building and scaling systems on premise and in the cloud
  • Strong technical skills with proven experience developing and supporting scalable data infrastructure
  • Ability to communicate effectively with multi-functional technical and non-technical teams
  • Prior experience in advertising industry is a huge plus!
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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