LinkedIn – Engineering Manager- Machine Learning

Sunnyvale, CA, United States

About the job

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

LinkedIn AI is driven by a global team of ~400 engineers distributed across the USA (Sunnyvale, Mountain View, San Francisco, New York), India, and Ireland. The LinkedIn AI team is responsible for developing machine learning algorithms, engineering data pipelines and scalable software platforms that fuel all LinkedIn applications. We use state of the art big data and AI technologies to solve problems. To name a few examples:

1. We developed new classes of machine learning models based on generalized mixed effects models to combine disparate sources of data for personalization at the member level.
2. We heavily employed LSTM, CNNs, and sequence-to-sequence models for most of our natural language processing and computer vision tasks.
3. We built an “AI automation” platform called Pro-ML that allows us to manage the features and machine learning models for every engineering team at the company from one system. This system provides a single platform for the entire lifecycle of developing, training, deploying, and testing machine learning models. Our data infrastructure team innovated Kafka and Samza. We leverage them as well as Hadoop, Ambry, Spark, TensorFlow, Pig/Hive, Azure to process data.

As an Engineering Manager, Machine Learning on the LinkedIn Talent Solutions and Careers AI (LTSC-AI) Team you will be responsible for leading a team of Applied Researchers and Machine Learning Engineers that build and own search and recommendation algorithms, models, and systems to power one of our core businesses — Job Search and Recommendation . You will work with some of the best engineers and scientists on state-of-the-art technology that leverages truly big data. The candidate will be joining the AI team that is charged with developing the AI algorithms that power our job seeking products, including job search and recommendations. The team works in close partnership with the Product and Engineering partners in the LinkedIn Talent Solutions business, whose charter is to identify and match job seekers and hiring managers so we are able to provide economic opportunity to every member of the global workforce. The team is composed of other AI engineers who all have applied and/or academic experience in developing AI algorithms for search and recommendation systems.


•As a hands-on manager 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 to power LTSC products.
•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.

Basic Qualifications:

•Experience of leading a team of engineers as a people manager.
•Masters Degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
•Experience in Java, Scala and Python.
•Experience using at least one of the following clustered computing systems: MapReduce, Dataflow, Hadoop/Spark.
•Experience in building ML data pipeline and in ML or NLP.

Preferred Qualifications:

•2+ years of management experience.
•Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
•Worked with web-scale traffic and data.
•Experience with developing and designing monetization and enterprise products.
•Published work in academic conferences or industry circles.

Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: Please reference and for more information.

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 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.

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