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Senior Machine Learning Engineer - Automation for Translation and Multilingual Intelligence

Apple Inc

  • Cupertino, CA
  • 19 days ago

    Highlights

    Developing automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks Implementing and optimizing ML pipelines with emphasis on distributed data processing, training, inference throughput and efficiency Collaborating with software engineers and QE to integrate ML models into production systems3+ years working experience in ML lifecycle, Model management, data processing, large distributed system & cloud computing such as Spark, Ray and Dask Proficient coding skills in Python and experience with ML infrastructure tools such as vLLM, SGLang, TRT-llm, Slime or Megatron-LM Excellent communication and problem solving skillsStrong machine learning expertise with hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building and deployment is a big plus Experience with LLMs, neural machine translation is a plus Deep knowledge in ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures is a plus. The role will be part of the model automation team to deal with large quantities of data, apply the state-of-the-art methods in deep learning to tackle real world problems, create the production quality models at scale and set up ML CI/CD pipelines.

    Numbers & Facts

    LocationCupertino, CA
    IndustryComputer/IT Services
    Company Size10,000 employees or more
    Year Founded1976
    Websitehttps://www.apple.com/jobs

    Description

    Play a part in the next revolution in human-computer interaction. Build groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. The AI/ML - Translation & Multilingual Intelligence team is looking for exceptional Machine Learning Engineers passionate about delighting customers experience, building and improving the Machine Learning Automation and Tooling with a strong focus on model automation pipelines development and deployment. You will be part of a team thats responsible for a wide variety of language technologies related development activities. Your focus will be on developing the model automation pipelines which are highly scalable, robust and efficient. The role will be part of the model automation team to deal with large quantities of data, apply the state-of-the-art methods in deep learning to tackle real world problems, create the production quality models at scale and set up ML CI/CD pipelines.Developing automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks Implementing and optimizing ML pipelines with emphasis on distributed data processing, training, inference throughput and efficiency Collaborating with software engineers and QE to integrate ML models into production systems3+ years working experience in ML lifecycle, Model management, data processing, large distributed system & cloud computing such as Spark, Ray and Dask Proficient coding skills in Python and experience with ML infrastructure tools such as vLLM, SGLang, TRT-llm, Slime or Megatron-LM Excellent communication and problem solving skillsStrong machine learning expertise with hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building and deployment is a big plus Experience with LLMs, neural machine translation is a plus Deep knowledge in ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures is a plus

    About Company

    We bring amazing people together to make amazing things happen.

    We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

    About Apple

    There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

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