Machine Learning Engineer, Level 5
Machine Learning Engineer, Level 5
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$ 209000 - 313000
1 Vacancy
Job Description
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world every day. Were deeply committed to the well-being of everyone in our global community which is why our values are at the root of everything we do. We move fast with precision and always execute with privacy at the forefront.
Were looking for a Machine Learning Engineer to join Snap Inc!
What youll do:
Create models which help drive value for users advertisers and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust lasting and scalable products Iterate quickly without compromising quality
Knowledge Skills & Abilities:
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Ability to work with both internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Minimum Qualifications:
Bachelors Degree in a relevant technical field such as computer science or equivalent years of practical work experience
5 years of post-Bachelors machine learning experience; or Masters degree in a technical field 4 year of post-grad machine learning experience; or PhD in a relevant technical field 1 years of post-grad machine learning experience
Experience developing machine learning models for ranking recommendations search content understanding image generation or other relevant applications of machine learning
Preferred Qualifications:
Advanced degree in computer science or related field
Experience working with machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML scikit-learn or related frameworks
Experience working with machine learning ranking infrastructures and system design
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.
At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $209000-$313000 annually.This position is eligible for equity in the form of RSUs.
Employment Type
Full-Time
