LinkedIn
Manager, Software Engineering - Data Engineering Team
LinkedIn, Mountain View, California, us, 94039
Overview
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. This role will be hybrid in LinkedIn's Mountain View campus. Responsibilities
Build inference experiments, with the challenge of sparse signals, to improve content recommendations for new members, a critical project that has the attention of the CEO. Collaborate with other data engineers to enhance the inference stack in the process. Partner with data scientists to innovate and build model evaluation tools based on a variety of data sets. This is an initiative that receives regular attention from VPs. Work with a crack team of engineers across AI, data science, AI infrastructure, and data engineering to build a state-of-the-art Feed recommendation system that will transform how we do AI at LinkedIn Qualifications
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years experience in software design, development, and algorithm related solutions. 5+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++ Preferred Qualifications
Background in at least one of the following: large scale distributed systems, stateful backend systems, AI development of transformer models, recommender systems Track record of adapting to fast-changing technology and leading others through similar changes Passion for engineering craft and operational excellence Experience growing strong engineers Strong critical thinking skills and growth mindset Suggested Skills
Technical Leadership Communication Software Design Cross-organizational collaboration Additional Information
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 $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. 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. 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.
Note: decorative formatting removed per guidelines.
#J-18808-Ljbffr
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. This role will be hybrid in LinkedIn's Mountain View campus. Responsibilities
Build inference experiments, with the challenge of sparse signals, to improve content recommendations for new members, a critical project that has the attention of the CEO. Collaborate with other data engineers to enhance the inference stack in the process. Partner with data scientists to innovate and build model evaluation tools based on a variety of data sets. This is an initiative that receives regular attention from VPs. Work with a crack team of engineers across AI, data science, AI infrastructure, and data engineering to build a state-of-the-art Feed recommendation system that will transform how we do AI at LinkedIn Qualifications
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years experience in software design, development, and algorithm related solutions. 5+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++ Preferred Qualifications
Background in at least one of the following: large scale distributed systems, stateful backend systems, AI development of transformer models, recommender systems Track record of adapting to fast-changing technology and leading others through similar changes Passion for engineering craft and operational excellence Experience growing strong engineers Strong critical thinking skills and growth mindset Suggested Skills
Technical Leadership Communication Software Design Cross-organizational collaboration Additional Information
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 $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. 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. 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.
Note: decorative formatting removed per guidelines.
#J-18808-Ljbffr