AI/ML - Machine Learning Research Engineer, Machine Translation

2 Minutes ago • 3 Years + • Localization • $171,600 PA - $302,200 PA

Job Summary

Job Description

Apple's Machine Translation team seeks exceptional researchers/scientists to develop next-generation core MT and Large Language Model technologies, enabling users to communicate across language barriers and perform multilingual tasks. This role focuses on advancing state-of-the-art approaches in Machine Translation and Multilingual Large Language Models, applying this technology across the Apple ecosystem. As a core modeling team member, you will investigate novel modeling, learning approaches, and evaluation methods, working with diverse language technologies to solve real-world problems.
Must have:
  • 3+ year experience in machine learning and NLP including model training, inference, Large Language Models and neural machine translation, language modeling, sequence-to-sequence models.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.
  • Passionate about machine translation, large language model and natural language processing.
Good to have:
  • Expertise in key language technologies including machine translation, large language model and natural language processing.
  • Ability to formulate a research problem, design, experiment and implement solutions in C/C++/Java, Python, bash scripting, etc.
  • Design and deployment of real-world, large-scale, user-facing MT or LLM systems.
  • Excellent spoken and written communication skills.
  • Track record of impactful contributions to the field of LLM, MT or related fields preferred for senior researchers.
Perks:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses, including tuition, for formal education related to advancing your career at Apple
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards
  • Option to purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
  • Eligibility for discretionary bonuses or commission payments
  • Relocation assistance

Job Details

Apple Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of core MT technology and Large Language Model technologies to allow our users to communicate across language barriers and perform multilingual tasks. Passionate about Natural Language Processing, Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem.

Multilingual tasks, including Machine Translation has become increasingly capable through multilingual Large Language Models. The Apple MT organization is responsible for the R&D of state-of-the-art approaches to Machine Translation and Multilingual Large Language Models as well as applications of this technology (e.g., Translate app, Safari web page translation, System-wide translation). We are looking for research scientists and engineers passionate about applied research in the space of Multilingual Large Language Models and Machine Translation, investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team, you will have the opportunity to work with a wide variety of language technologies and advance the edge of the LLM and MT technology to tackle real world problems. The successful candidate should have excellent oral and written communication skills and a team player. Track record of impactful contributions to the field of LLM, MT or related fields preferred for senior researchers.

  • 3+ year experience in machine learning and NLP including model training, inference, Large Language Models and neural machine translation, language modeling, sequence-to-sequence models, etc.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.
  • Passionate about machine translation, large language model and natural language processing.
  • Expertise in key language technologies including machine translation, large language model and natural language processing.
  • Ability to formulate a research problem, design, experiment and implement solutions in C/C++/Java, Python, bash scripting, etc.
  • Design and deployment of real-world, large-scale, user-facing MT or LLM systems.
  • Excellent spoken and written communication skills.

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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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