AI Engineer

Position: Staff AI Engineer
Company Description

Linked In is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

Linked In'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.

As a Staff Engineer at Linked In, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.

Responsibilities

* Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions

* Write production quality code and influence the next generation of Linked In's system

* Collaborate with 10+ machine learning engineers to deliver impact on Linked In newsfeed

* Build scalable AI innovations with foundation and infra partners

Qualifications

Basic Qualifications

* Bachelor's degree in Computer Science or related technical field or equivalent practical experience

* 4+ years of industry experience in software design, development, and algorithm related solutions.

* 4+ years experience in programming languages such as Java, Python, etc.

* 4+ years experience with machine learning, data mining, and information retrieval or natural language processing

Preferred Qualifications:

* 6+ years of relevant machine learning experience

* MS or PhD in Computer Science or related technical discipline

* Experience with machine learning, optimization algorithms, deep-learning techniques

* Experience developing large scale systems

* Experience with Spark, Tensorflow and Java.

* Previous leadership or mentorship experience is preferred

* Ability to diagnose technical problems, debug code, and automate routine tasks

* Analytical approach coupled with solid communication skills and a sense of ownership

* Track record of producing papers in conferences such as KDD,(Use the "Apply for this Job" box below). WSDM, and Patenting Innovations

Suggested Skills

* Experience leading engineers to tackle a large-scale AI problem

* Strong technical background & Strategic thinking

* Experience in Machine Learning, Big Data and Deep Learning

* Experience in GAI and/or LLMs

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. Linked In is committed to fair and equitable compensation practices. The pay range for this role is $170,000-$277,000. 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

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity…