Apple
Proximity Systems and Intelligence Team Machine Learning Engineer
Apple, San Diego, California, United States, 92101
Proximity Systems and Intelligence Team Machine Learning Engineer
San Diego, California, United States Software and Services Our mission is to provide an intelligent and rich user experience on Apple devices using spatial awareness and device context. We help you find your keys, locate your AirPods, remind you if you leave your devices behind in untrusted locations, and let you know how long your commute will be. We also help your loved ones know you made it home safely and help protect you against unwanted tracking. We have an opening for an experienced Machine Learning engineer for our small but growing team. The team currently focuses on designing and developing algorithms that help realize our mission. If applying machine learning algorithms to solve these problems and deploying them efficiently on edge devices excites you, we would want to talk to you! Minimum Qualifications
Have 3-5+ years shipping production grade software and machine learning algorithms Possess excellent analytical, programming, and debugging skills Have good foundation in C++, Objective-C, or Swift Comfortable scripting and developing in Unix-like systems. Have Bachelor's or graduate degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar area Preferred Qualifications
Prior experience in pre-training and fine-tuning large models Prior experience in building models with sparse labelled data. Prior experience in efficient on-device deployment of ML models. Possess working knowledge of probability and statistics Can succeed in a collaborative environment and can clearly communicate while deftly driving multiple projects across many teams Are laser-focused on customer impact with attention to the smallest details that are meaningful to our customers Are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways 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 $139,500 and $258,100, 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 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. 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.
San Diego, California, United States Software and Services Our mission is to provide an intelligent and rich user experience on Apple devices using spatial awareness and device context. We help you find your keys, locate your AirPods, remind you if you leave your devices behind in untrusted locations, and let you know how long your commute will be. We also help your loved ones know you made it home safely and help protect you against unwanted tracking. We have an opening for an experienced Machine Learning engineer for our small but growing team. The team currently focuses on designing and developing algorithms that help realize our mission. If applying machine learning algorithms to solve these problems and deploying them efficiently on edge devices excites you, we would want to talk to you! Minimum Qualifications
Have 3-5+ years shipping production grade software and machine learning algorithms Possess excellent analytical, programming, and debugging skills Have good foundation in C++, Objective-C, or Swift Comfortable scripting and developing in Unix-like systems. Have Bachelor's or graduate degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar area Preferred Qualifications
Prior experience in pre-training and fine-tuning large models Prior experience in building models with sparse labelled data. Prior experience in efficient on-device deployment of ML models. Possess working knowledge of probability and statistics Can succeed in a collaborative environment and can clearly communicate while deftly driving multiple projects across many teams Are laser-focused on customer impact with attention to the smallest details that are meaningful to our customers Are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways 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 $139,500 and $258,100, 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 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. 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.