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Staff Software Engineer, ML Foundations

LinkedIn

LinkedIn

Software Engineering, Data Science
Mountain View, CA, USA
Posted on Thursday, June 13, 2024
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when your team needs to be together.

This is a full-time engineering role based in Sunnyvale, CA.

ML Foundations SRE plays a pivotal role in the AI first roadmap at LinkedIn. We work closely with AI platform engineers and infrastructure teams to build and scale the next gen AI Infra with high availability, observability and efficiency. Our mission is to enable massive growth of AI at LinkedIn in a reliable and efficient manner.

We are seeking a Staff engineer who can help us develop and expand our top-notch AI infrastructure at LinkedIn. In this role, you would transform the GPU based AI infrastructure for the training and serving of cutting-edge ML models and improve the stack to handle Linkedin scale. You should be eager to advance the AI infrastructure to enhance observability, efficiency, availability and evolve the architecture to suit Linkedin needs, ensuring preparedness for the future, and fostering cooperation across different teams within the organization.

Responsibilities

-Build scalable AI infrastructure and improve the observability, availability and efficiency with a
focus on Site stability and security.
-Work closely with and influence AI and/or technology partners regularly to help define a
roadmap.
-Own the technical strategy for broad or complex requirements with insightful and forward-
looking approaches that go beyond the direct team and solve large open-ended problems.
-Participate in design and code reviews to maintain our high development standards.
-Partner with peers, leads and partners to define, scope, prioritize, and build impactful features
at a high velocity.
-Deliver incremental impact by driving innovation while iteratively building and shipping
software at scale.
-Mentor other engineers, define our culture, and grow talent in the team.
-Diagnose technical problems, debug in production environments, and automate routine tasks.

Basic Qualifications


-BA/BS Degree in Computer Science or related technical discipline, or related practical
experience.
-4+ years of industry experience in software design, development, and algorithm related
solutions.
-4+ years experience programming in languages such as Java, Python, Go, Rust etc
-Hands-on experience developing and operating distributed systems, large-scale systems,
databases and/or Backend APIs.

Preferred Qualifications
-BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience,
or PhD and 4+ years of relevant work experience.
-Experience in architecting, building, and running large-scale distributed systems.
-Experience with Machine Learning, optimization algorithms, Big Data and Deep Learning.
-Ability to diagnose technical problems, debug code, and automate routine tasks.
-Analytical approach coupled with solid communication skills and a sense of ownership.
-Experience in building and scaling AI infrastructure.

Suggested Skills:
· Handle Large-scale AI Problems
· Machine Learning
· Building and Scaling AI Infrastructure


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 $144,000-$235,000. 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.


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: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf 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 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.

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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice