LinkedIn

Manager, Software Engineering, Machine Learning (Ads AI)

Mountain View, CA (Hybrid)

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Ads Marketplace Optimization team is responsible for the AI solutions for the fast growing Marketing Solutions business at LinkedIn. As a manager, you will lead a team of Machine Learning engineers to solve some of the cutting-edge AI problems that empower large & small businesses to reach, engage, and convert professional audiences at scale. This role provides a unique set of challenges w.r.t. scale and complexity for AI modeling as well as systems-infrastructure. The top areas include auction design, bidding and pacing algorithms, pricing, as well as building low-latency systems to serve these complex models in real time. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As an AI/ML Engineering Manager at LinkedIn you will be responsible for leading a team of Applied Researchers and Machine Learning Engineers that build and own algorithms, models, and systems that power our LinkedIn platform. Responsibilities Participate in key technical and design discussions with technical leads in the team. Collaborate with application engineering, product, and partner teams to design machine learning solutions. Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. Attract world class talent and provide technical guidance, career development, and mentoring to team members. Qualifications Basic Qualifications BA/BS in Computer Science or other technical discipline, or related practical technical experience 5+ years of related industry experience in software design, development, and algorithm related solutions 1+ years of experience in software engineering/technical engineering management and people management 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training Hands on experience in data modeling and machine learning Preferred Qualifications MS or PhD in Computer Science, Machine Learning, Statistics or related fields 2+ years of experience in software engineering/technical engineering management and people management 7+ years of hands on experience in data modeling and machine learning Suggested Skills Large-scale AI problem Technical background Strategic thinking Machine Learning, Big Data and Deep Learning You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000-$277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.