Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

: Summary Posted: Feb 27, 2024 Role Number: 200535756 Are you interested in building amazing text input experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power many applications on Apple Platforms including the latest Transformer Models for Keyboard on iOS 17. We build innovative and pervasive NLP technologies that power a multitude of user experiences on Apple platforms by blending Sensor technology, NLP, ML & Software engineering. Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. Here are a selection of relevant WWDC presentations: Key Qualifications

• Experience writing production software (C/C++, Obj-C, Python)
• Hands-on experience with building NLP applications
• Good machine learning (ML) fundamentals
• Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow
Excellent communication and organizational skills

Description Join the Input Experience team that is responsible for on-device text processing across all Apple platforms. As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing NLP features for Apple and working on concrete user-facing features that harness the NLP stack. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP. Education & Experience B.S, M.S. or PhD in Computer Science or a related field 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 $138,900.00 and $256,500.00, 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 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.