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Tools Automation Engineer - Trust Safety jobs at Apple in United States, New York

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52 jobs found
26.08.2025
A

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

Limitless High-tech career opportunities - Expoint
25.08.2025
A

Apple Cloud Security Engineer United States, New York, New York

24.08.2025
A

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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03.08.2025
A

Apple Senior Machine Learning Engineer United States, New York, New York

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Description:
  • Proven track record of designing and scaling robust ML infrastructure and frameworks that support both training and inference across teams and orgs.
  • Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies.
  • Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing.
  • Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices.
  • Prior experience in advertising industry, federated learning and privacy-preserving ML techniques.
  • Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management.
  • Experience working on distributed systems (e.g Ray, Spark, Kubernetes).
  • Experience performance tuning & trouble-shooting.
  • Pride in building tools to automate routine tasks, organized & detailed.
  • Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden.
  • Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
  • Results oriented with a desire to work in a fast-paced and collaborative work environment.
  • PhD/MS/BS in computer science or related field with 8+ years of experience in machine learning and strong software engineering 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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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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