This role will be based in Sunnyvale 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.
AI and search are fundamental to virtually every LinkedIn experience. Our members use AI to view their feed ads jobs notifications with trusted content and search to find people jobs companies groups and other professional content. To power these solutions our AI Infrastructure brings together information retrieval machine learning distributed systems and other fundamental areas of computer science.
The mission of the AI Infrastructure team is to create highly available reliable and performant AI and information retrieval systems that are delightful for our ML Engineers to productively use. To do this our distributed search platform must scale seamlessly across data and traffic while enabling engineers to rapidly innovate experiment and improve relevance. Any engineer within LinkedIn can use our platform to quickly build their own solution searching their specific document corpus. Our platform also ensures it will operate with performance scalability and stability.
As Engineering Director of the information retrieval control plane (which includes hosted search) you will directly lead a team of 50 engineers and managers as well as embedded SREs and TPMs. You will partner with engineering infrastructure product and business leaders across LinkedIn to drive the core technical agenda for this domain.
This individual will be a core member of LinkedIns AI Infrastructure engineering leadership team. This leader will be a key contributor to the future success of the business and LinkedIn as this team creates member and customer value from LinkedIns economic graph.
The successful candidate will be a strong thought leader in the technology space with the ability to build and execute at scale and an inspirational people leader overseeing a large team of engineers solving big problems.
Qualifications :
Basic Qualifications
5 years of software engineering management experience
4 years experience in one of the following areas: data infrastructure search infrastructure or ML platforms
B.A./B.S. degree or higher or equivalent experience
Preferred Qualifications
Good understanding of the nature of AI models and the complexity of serving them
Good understanding of the AI model development and validation processes
Hands on experience of developing large scale distributed systems
Experience attracting retaining and developing top engineering and operations talent throughout the industry.
Excellent communication and presentation skills.
Additional Information :
Suggested Skills:
Technical Leadership
Data Infrastructure
Search Infrastructure
ML Platforms
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $226000 to $369000. 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 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 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 LinkedIns 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: 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: Work :
No
Employment Type :
Full-time
This role will be based in Sunnyvale 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 ...
This role will be based in Sunnyvale 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.
AI and search are fundamental to virtually every LinkedIn experience. Our members use AI to view their feed ads jobs notifications with trusted content and search to find people jobs companies groups and other professional content. To power these solutions our AI Infrastructure brings together information retrieval machine learning distributed systems and other fundamental areas of computer science.
The mission of the AI Infrastructure team is to create highly available reliable and performant AI and information retrieval systems that are delightful for our ML Engineers to productively use. To do this our distributed search platform must scale seamlessly across data and traffic while enabling engineers to rapidly innovate experiment and improve relevance. Any engineer within LinkedIn can use our platform to quickly build their own solution searching their specific document corpus. Our platform also ensures it will operate with performance scalability and stability.
As Engineering Director of the information retrieval control plane (which includes hosted search) you will directly lead a team of 50 engineers and managers as well as embedded SREs and TPMs. You will partner with engineering infrastructure product and business leaders across LinkedIn to drive the core technical agenda for this domain.
This individual will be a core member of LinkedIns AI Infrastructure engineering leadership team. This leader will be a key contributor to the future success of the business and LinkedIn as this team creates member and customer value from LinkedIns economic graph.
The successful candidate will be a strong thought leader in the technology space with the ability to build and execute at scale and an inspirational people leader overseeing a large team of engineers solving big problems.
Qualifications :
Basic Qualifications
5 years of software engineering management experience
4 years experience in one of the following areas: data infrastructure search infrastructure or ML platforms
B.A./B.S. degree or higher or equivalent experience
Preferred Qualifications
Good understanding of the nature of AI models and the complexity of serving them
Good understanding of the AI model development and validation processes
Hands on experience of developing large scale distributed systems
Experience attracting retaining and developing top engineering and operations talent throughout the industry.
Excellent communication and presentation skills.
Additional Information :
Suggested Skills:
Technical Leadership
Data Infrastructure
Search Infrastructure
ML Platforms
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $226000 to $369000. 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 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 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 LinkedIns 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: 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: Work :
No
Employment Type :
Full-time
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