Senior Machine Learning Engineer - Video Search- Apple ...

Weekly Hours: 40 Role Number: 200628165-0836 Summary The Apple Services Engineering AI/ML organization is hiring a Senior Machine Learning Engineer to join the Video Search team.Our team builds the core intelligence that powers video search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy.Join us, youu2019ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of video content at scale. Working closely with cross-functional partners in product and design, youu2019ll translate cutting edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. Description As a Senior Machine Learning Engineer on the Video Search team, within Apple Services Engineering AI/ML org, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. Youu2019ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards.This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into productionu2014shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight. Minimum Qualifications + 4+ years of industry or practical experience in machine learning, NLP , IR, or more recently Large Language Model( LLMs). + Strong programming skills in Python, Java and Go for building scalable ML systems. + Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. + Ability to translate product goals into technical solutions, improving user experience. + Strong communication, collaboration, and analytical problem-solving skills. + In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. + Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. + Industrial experience in search, classification, recommendation systems, or related fields. + Familiarity with A/B testing and data-driven product development. + Passionate about creating products loved by customers at Apple. Preferred Qualifications + Experience with video search or recommendation systems, and semantic retrieval or vector databases. + Hands-on expertise in PyT orch, JAX, or T ensorFlow for model training and deployment. + Expertise in transformer architectures, embeddings, and retrieval or ranking models. + Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, + context management, RAG and Agentic architectures and solutions. + Exposure to evaluation and safety frameworks for LLM-based systems. + Knowledge of reinforcement learning and other modern post training practices for LLMs. + Passion for developing intelligent, human-centered experiences to enhance music discovery. + Masteru2019s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Artificial + Intelligence, or a related field. 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 $181,100 and $272,100, 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 Appleu2019s 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 Appleu2019s Employee Stock Purchase Plan. Youu2019ll 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 u2014 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 (.

Created: 2025-10-30