AI ENGINEER
Company: LinkedIn
Location: Sunnyvale
Posted on: November 13, 2024
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Job Description:
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.This role will be based in Sunnyvale, San Francisco,
Bellevue or New York City.At LinkedIn, we trust each other to do
our best work where it works best for us and our teams. This role
offers a hybrid work option, meaning you can work from home and
commute to a LinkedIn office, depending on what's best for you and
when it is important for your team to be together. This is a
full-time engineering role based in Sunnyvale, San Francisco,
Bellevue or New York City.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. Responsibilities:--- Building and
deploying relevance models that power our various recommender
systems and personalized intent engines--- Keeping scalability and
performance in mind through your design and engineering choices.---
You will explore novel approaches for machine learning ranking and
modeling downstream impact, as well as new ways of creating new
product features by leveraging the cutting edge machine learning
techniques in Generative AI, NLP.--- You will work with big data
and analyze tracking data to understand member preferences and
identify opportunities for taking the products you work on to the
next level.--- You will work directly with partner data science,
product, and infrastructure teams to take your ideas from
conception to production.Basic Qualifications:--- Bachelor's degree
in Computer Science or related technical field or equivalent
technical experience--- 1+ years experience with machine learning,
data mining, and information retrieval or natural language
processing --- 1+ year of industry experience in software design,
development, and algorithm related solutions.--- 1+ years
experience in programming languages such as Java, Python,
etc.Preferred Qualifications:------ 1+ years of relevant work
experience--- MS or PhD in Computer Science or related technical
discipline--- Experience developing large scale systems---
Knowledge of recommendation systems--- 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 Machine Learning and Deep
Learning--- Experience in Big Data --- Strong technical background
& Strategic thinkingSuggested Skills:--- Data Mining--- Data
Coding--- Machine LearningYou 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 $111,000 - $183,000. 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
Keywords: LinkedIn, Hayward , AI ENGINEER, Engineering , Sunnyvale, California
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