{"title": "Senior Machine Learning Engineer, Productivity Apps", "summary": "At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Productivity Apps team\u2014the team behind apps like Notes, Freeform, and iWork\u2014 needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. As a Senior Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity!", "description": "Are you ready to be an early member of a new engineering team? Join us, and you\u2019ll build state-of-the-art models and applications, partner with cross-functional teams and deliver end-to-end features to power the next-generation tools for creators. The ideal candidate should have deep experience in machine learning, care about long term sustainable software development, and can drive features from concept all the way to delivery. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.", "key_qualifications": "5+ years of experience designing, implementing, evaluating, and deploying machine learning models in production environments. Experience deploying models to memory or compute constrained environments is a plus. Experience with large-scale model training and parallelization is a plus. Experience improving data quality via active learning, core set selection, etc. for images, videos, and text. Experience reading research papers and the ability to build on key ideas. Demonstrated curiosity about the frontier of deep learning including generative AI and multi-modal models. Hands-on experience with GANs, VAEs, Diffusion Models, or Transformers is a plus. Strong programming skills and hands-on experience using one of the popular deep learning toolkits like PyTorch, JAX, or TensorFlow. Strong problem-solving and communication skills.", "preferred_qualifications": "", "education_experience": "MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art machine learning technologies.", "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"}