AIML - Staff Machine Learning Engineer, Search Query Understanding (SII)We are looking for a Machine Learning engineering Technical leader with a passion for using machine learning to create intelligent search applications. Our team researches new machine learning algorithms, models and techniques that will power amazing search experiences across Apple products. We are looking for a high-reaching team leader to join our ML group. This role will have the opportunity to initiate and lead exciting projects to further the state of language understanding at Apple, and use data science, machine learning and analytical skills to solve challenging technical problems and ship novel products that will delight millions of people!
Description This role will have the chance to create and evaluate new algorithms, models and methods that will impact Apple and the broad ML community. Role responsibilities include:
Researching, proposing and leading innovative language modeling techniques to further language understanding capabilities at Apple.Building novel applications of LLMs to various search problems.Developing a long-term technical vision; proposing a roadmap for the team with clear objectives.Analyzing the loss patterns in the current search and assistant stack and coming up with new ideas, algorithms and techniques to resolve those losses with the goal of improving the top-line product metrics.Collaborating with various product teams across the company and partnering with them to apply language understanding models to new product areas and use cases.Working on continuously improving the metrics and performance of models the team has launched in production by leveraging innovative ML techniques.Minimum Qualifications 7+ years of experience in Machine Learning, NLP, Large Language Models, and applying these techniques at scale.3+ years of experience in a technical leadership role; overseeing technically complex projects along with people management, scaling, and growing technical teams.Strong software engineering skills in a mainstream programming language, such as Python, Go, C/C++.Bachelor's in Computer Science or equivalent industry work experience.Preferred Qualifications Familiarity with NLP/ML tools and packages like Jax, TensorFlow, PyTorch, etc.Practical experience building production-quality applications related to natural language processing and machine learning.In-depth knowledge of machine learning algorithms and ability to apply them in data-driven natural language processing systems.Ability to quickly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex problems.Ability to collaborate closely with multi-functional teams.Advanced degree in a related field or equivalent industry work experience.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 $175,800 and $312,200, 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 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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