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Ml Data Operations Lead jobs at Apple in United States, New York
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33 jobs found
26.08.2025
A
Apple Software Engineer Data Engineering United States, New York, New York
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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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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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25.08.2025
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Apple Sales Operations Lead Apple Ads – Display United States, New York, New York
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Description:
- 5+ years of experience in Sales Operations and/or digital advertising industry
- Solid understanding of the digital ad ecosystem
- Strong analytical mindset with a passion for analyzing reports and data to uncover insights to create high impact growth strategies
- Proven track record of identifying growth opportunities and business challenges and utilizing analytics and reporting to create strategic options for stakeholders at all levels
- Excellent project management, prioritization, and communication skills
- Self-starter attitude with high integrity, accountability, and collaboration
- BA/BS in Marketing, Business Administration, Analytics or related field
- MBA or advanced graduate degree preferred
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
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Apple Senior Data Scientist - Business Analytics United States, New York, New York
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Description:
- 8+ years of Business Analytics or Data Science leadership experience.
- Strong data analysis skills to conduct deep dives by applying statistics and machine learning 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, data visualization, and a keen eye for design.
- Strong programming ability in Python, and experience with Pandas, SciPy, and Scikit-learn.
- Familiarity with a variety of data stores such as Hadoop, and Snowflake, and with distributed analytics engines such as PySpark.
- 11+ years of Business Analytics or Data Science leadership experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
- Familiarity with job orchestration frameworks such as Airflow.
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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01.08.2025
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Apple AIML - Annotations Account & Program Manager Data Operations 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, but also improve the experience of billions of users.
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 your ideas not only published in papers, and also improve the experience of millions of users.
- Demonstrated expertise in deep learning with 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
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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21.07.2025
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Apple Trust & Safety External Engagement Lead United States, New York, New York
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Description:
- 5+ years of experience in roles such as external affairs, policy engagement, communications, trust & safety, or nonprofit/academic liaison.
- Demonstrated background in policy, public interest technology, or online safety governance, with experience engaging with the public sector.
- Excellent writing, communication, and relationship-building skills across diverse partner groups.
- Demonstrated track record of coordination and engagement management in medium to large-scale organizations.
- Familiarity with online harms discourse and current global debates in digital governance.
- Ability to manage concurrent projects with flexibility to adaptand find proactive opportunities.
- Willingness to travel as needed.
- Ability to support across multiple time zones and willingness to work outside standard work hours regularly.
- Preferred Qualifications
- Experience working with or within interdisciplinary teams (e.g., product, legal, policy, research).
- Ability to bring structure to evolving or complex work streams with an excitement to join a new team and support the development of governance procedures and protocols in partnership with 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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20.07.2025
A
Apple Software Engineer Data Engineering United States, New York, New York
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Description:
- Bachelor's in Computer science/electrical engineering or related degree
- 1+ year of python development experience
- Strong problem-solving and debugging skills
- Proficient in using version tracking system like git
- Experience with complex software integration is a plus
- Experience with equipment automation is preferred
- An analytical, methodical, and creative problem solver committed to driving quality forward
- Outstanding communication skills vital to collaborate with multi-functional teams
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
Share
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.
Expand
These jobs might be a good fit
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