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Senior Machine Learning Engineer - Experimentation jobs at Apple in United States, New York
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73 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
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Apple Software Engineer Apple Ads United States, New York, New York
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Description:
You will
- Bachelor's degree in Computer Science or equivalent is required
- 3 or more years of industry experience building scalable micro services or data driven platforms.
- Strong computer science fundamentals.
- Prior experience with Java/Scala/C++ or equivalent.
- Expertise in NoSQL datastores ( e.g Cassandra or DynamoDB )
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
- Experience crafting scalable micro services.
- Familiarity with cloud paradigms ( e.g AWS or GCP )
- Proven ability to work on sophisticated problems and systems
- Strong problem solving and debugging skills.
- Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- A desire to work in a fast-paced and challenging work environment.
- Familiarity with Advertising Technology is a plus
- Master's degree is 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 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
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Apple Cloud Security Engineer United States, New York, New York
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Description:
As a Security Engineer on our team, you'll be at the forefront of protecting customers by conducting continuous, in-depth security assessments. You will be challenged to solve complex technical problems, automate repetitive tasks, and influence the security posture of Apple services. You'll collaborate directly with internal teams to solve challenging software security problems and ensure secure development practices.
- 5+ years manually penetration testing server application and infrastructure-as-code software with a focus on identifying vulnerabilities that automated tools miss
- Manually audit the Java and/or Kotlin source code of web services and software authored in house by Apple
- Create and implement threat mitigation plans to address identified vulnerabilities and improve the overall security posture of Apple services
- Possess a strong desire to cultivate talent and mentor pentesters with various skill levels
- Experience in a DevOps culture
- Integrating security into teams that use CI/CD to deploy code quickly
- Conducting penetration tests of large scale AWS deployments
- Security code review of services written in either Kotlin or Go
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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24.08.2025
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Apple Natural Language Generation Engineer Wallet & Payments United States, New York, New York
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Description:
As a Machine Learning Engineer on our team, you will build and iteratively refine model pipelines that enable rich text experiences on Wallet products. You will conduct experiments and create prototypes for new approaches to improve the quality of our generative language models, translating customer needs into analytical solution. You will work hand in hand with software engineers, data scientists, and product partners. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines, and contribute evaluate metrics for measuring forward progress.KEY RESPONSIBILITIES- Development and maintenance of modeling pipelines that are deployed to production and reach global scale- Definition of robust automated evaluation metrics to enable continuous model improvements- Failure analysis to understand shortcomings and model sensitivities- Curation and synthesis of representative training and evaluation data- Implementation of experiments and simulations to assess proposed model changes
- MS or PhD in Computer Science or related field with at least 2 years of industry experience
- Strong Python programming skills, with experience developing production-quality Python modules
- Solid background in machine learning, data science, natural language processing, or statistics
- Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
- Ability to design and implement experiments that bring NLP research ideas into production
- Familiarity with LLMs, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
- Excellent written and verbal communication skills
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 Cloud Traffic Engineer Apple Pay United States, New York, New York
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Description:
We are a team of engineers that run internal/external traffic in a complex and distributed environment with strict privacy and security requirements. We are responsible for the modernization, reliability and observability of Wallets, Payments and Commerce traffic infrastructure.
- Knowledge of load balancing, service mesh, and edge deployments
- Familiarity with Networking, Security, Logging, and Application Monitoring
- Maintaining customer commitments
- Navigating the complexities of the business and service reliability
- Excellent verbal and written communications skills
- Ability to coach & mentor other ICs
- Degree in computer science, related field, or 10 years of equivalent work experience is highly desirable
- Developing in Go, Python, or similar programming languages
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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