Location: New York,NY, USA
AI/ML - Machine Learning Research Engineer, Machine Translation
New York City,New York,United States
Machine Learning and AI
Apple Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of core MT technology to allow our users to communicate across language barriers. Passionate about Natural Language Processing, Language Modeling and Machine Translation? Join us to bring the most advanced Machine Translation solution across the Apple ecosystem.
**Description**
Machine Translation is a critical technology that enables connecting people across language barriers. The Apple MT organization is responsible for the R&D of state-of-the-art approaches to MT as well as applications of this technology (e.g., Translate app, Safari web page translation and System-wide translation). We are looking for research scientists and engineers passionate about applied research in the space of MT, 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 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 MT or related fields preferred for senior researchers.
**Minimum Qualifications**
+ 3+ year experience in machine learning and NLP including model training, inference 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.
**Key Qualifications**
**Preferred Qualifications**
+ 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.
+ Experience working with standard MT/NLP toolkits preferred, e.g. FairSeq, OpenNMT, etc.
+ Design and deployment of real-world, large-scale, user-facing MT or LLM systems.
+ Excellent spoken and written communication skills.
**Education & Experience**
**Additional Requirements**
**Pay & Benefits**
+ 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 $143,100 and $264,200, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 take affirmative action to ensure 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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