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Apple Machine Translation Engineer - Localization United States, California, Cupertino 303151104
15.08.2024
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Description
Responsibilities:You and your team will be responsible for delivering the ML tools and features to answer product, engineer and customers' requirements in an Agile-like environment. This includes:- Working cross-functionally with various software teams to analyze requirements, prioritize and define goals, and then achieve them- Tracking progress of the team's tasks- Find ways to improve ML engineering workflow, support and maintenance- Present and scope solutions - Lead, support, and help your team members to grow, build their careers, and do the best work of their lives
Minimum Qualifications
- Excellent communication and team leadership skills
- Proven track record of growing and developing people
- Extensive cross-functional project leadership and delivery experience
- Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)
- Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
- Experience adapting pre-trained LLMs for downstream tasks
- Ability to manage a diverse team
- Self-motivated and proactive
- Ability to work in a fast-paced environment with frequent context switching and changing priorities
- 5+ years of software engineering experience
Preferred Qualifications
- BS/MS in Computer Engineering/Computer Science, or equivalent work experience.
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 $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location.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.
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