Product Manager Intern, Algorithmic Bias Review

Product Manager Intern, Algorithmic Bias ReviewSeattle,Washington,United StatesStudentsAdd a favoriteTo view your favorites, sign in with your Apple ID.Sign InDon’t have an Apple ID?

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Submit Resume Product Manager Intern, Algorithmic Bias ReviewBack to search resultsSummaryPosted:Dec 1, 2023Weekly Hours: 40Role Number: 200525337Our team sits at the intersection of engineering, data science and product management, and plays a pivotal role in bringing product decision intelligence to commerce. Product decision intelligence is an emerging focus area that applies a decision analysis layer on artificial intelligence / data products. Making high quality decisions is a human endeavor and our work humanizes optimization. We focus on framing, uncertainty and values that need to be represented in optimization, all of which are deeply human conversations.Key Qualifications

You are a great match, if you:

Are training in both liberal arts and technology. The ideal candidate will have the ability and interest to write thoughtfully about the historical evolution of a field while showing an appreciation for deep technical nuances.

Have an intuitive understanding of optimization methods (data science / decision analysis / industrial engineering) and also basic familiarity with M/L distinctions (classification models and how they are evaluated).

Love writing to express yourself and believe that writing is an art form.

Have a learn-and-grow mentality and want to be challenged in a nurturing and supportive environment.

Have an exposure to Decision Analysis (Applied Decision Theory).

DescriptionWe live in an age where algorithms make a large volume of decisions for us. Algorithms necessarily work on patterns. Patterns we like tend to be labeled best practices, and patterns we don’t like are labeled biases. We are committed to investing in developing a philosophical and sociological understanding of the patterns we perpetuate, and which patterns we need to review due to a conflict with our values. We believe that this is an important responsibility. To inquire into this area, we are looking for candidates who are rooted at the intersection of humanities and technology. This role will require you to work closely with cross-functional teams such as Machine Learning, Analytics, Engineering, Product Management, Product Marketing, Legal, Fraud, and Finance. In this internship, you will study the evolution of patterns in Commerce broadly, and more specifically in e-Commerce, and then situate our work in that context to provide insight and awareness on patterns and how they intersect with our values. You’ll love it here if you thrive in environments where introspective thought is valued just as highly as collaboration. Where quality matters over quantity. Where liberal arts meets technology.Education & ExperiencePursuing a degree in machine learning, data science, industrial engineering or related field, graduating December 2024 or later. If you would like to apply, please submit the following: - Resume and Cover Letter highlighting the following: - Classes or projects done in liberal arts (sociology/history/philosophy) - Classes or projects done in optimization/industrial engineering/machine learning - Writing samples of your best workAdditional RequirementsPay & 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 $39.05 and $58.65/hr, 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 (https://www.apple.com/careers/us/benefits.html) 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.

Apple FooterApple 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 (Opens in a new window) .Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .