{"title": "Machine Learning Engineer - Apple Vision Pro", "summary": "Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other\u2019s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It\u2019s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you\u2019ll do more than join something \u2014 you\u2019ll add something.", "description": "The Vision Products Group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build Apple\u2019s future technologies in the spatial computing space. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As an Machine Learning Engineer in the Vision Products Group at Apple, you will partner with the algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch. You will work multi-functionally with multiple teams at Apple, drive requirements and deliver the end solution. You will help evaluate various candidate approaches for optimizing machine learning pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, hardware and software co-design. You will write clean, maintainable and production code with appropriate documentation and tests. You will debug quality related issues in machine learning pipelines. You will contribute to architecture decisions, design reviews and peer code reviews. You will be a force-multiplier, by enabling team-members to be more productive", "key_qualifications": "Strong programming skills in Python and/or C++ with 5+ years of demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research. Hands-on experience with building deep learning applications. Expertise in using machine learning toolkits such as PyTorch, TensorFlow, etc. Experience developing and optimizing algorithms that run efficiently on resource constrained platforms. Ability to drive early-stage research projects with risks and ambiguity. Passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways. Excellent programming, problem solving and analytical skills. Communication and collaboration skills in a multi-functional setting. Ability to work hands-on with multi-functional teams. Ability to work under tight schedules and deliver under pressure. Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams", "preferred_qualifications": "", "education_experience": "\u2022 M.S or Ph.D. in deep learning/computer vision/natural language processing/machine learning/computer science with 5+ years of equivalent industry experience (or in exceptional cases, BS with proven track record of relevant industry experience). \u2022 Bonus: Strong publication record at top conferences", "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 $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\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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.", "company": "apple"}