LinkedIn is the world's largest professional network, designed to help members from diverse backgrounds and experiences achieve their career goals. Our mission is to create economic opportunities for every member of the global workforce. Every day, our members use LinkedIn to connect, discover opportunities, build skills, and gain insights. We believe in fostering a sense of belonging and prioritizing the skills needed to succeed. This drives us to invest in our talent and support career growth. Join us to challenge yourself with work that truly matters.
This role is based in Sunnyvale or San Francisco. At LinkedIn, we trust our employees to do their best work from where it suits them and their team. This role offers a hybrid work option, allowing you to work from home and commute to our office as needed. This is a full-time engineering role based in San Francisco or Sunnyvale, CA.
At LinkedIn, our Machine Learning Engineers are both data/research scientists and software engineers. They develop and implement machine learning models and algorithms. Unlike other companies, at LinkedIn our engineers work on projects from ideation to implementation.
Responsibilities include:
We strongly believe in the well-being of our employees and their families. We offer generous health and wellness programs and time away for employees at all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $107,000-$176,000. Actual compensation packages are based on several factors unique to each candidate, including skills, experience, certifications, and work location. The total compensation package for this position may also include bonuses, stock, benefits, and applicable incentive compensation plans. For more information, visit .
LinkedIn is committed to diversity in its workforce and is an equal-opportunity employer. We consider 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. For more information, refer to our equal opportunity statement and the EEOC