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Machine Learning Engineer

hace 2 meses


Ciudad de México, Ciudad de México Snap Inc. A tiempo completo
Machine Learning Engineer

We're seeking a skilled Machine Learning Engineer to join our team at Snap Inc.

About the Role:

  • Design and develop machine learning models that drive value for users, advertisers, and the company.
  • Evaluate technical tradeoffs and make informed decisions.
  • Collaborate with cross-functional teams to ensure exceptional code quality.
  • Build robust, scalable, and lasting products that meet user needs.
  • Iterate quickly without compromising quality.

Requirements:

  • Strong understanding of machine learning approaches and algorithms.
  • Able to prioritize duties and work independently.
  • Ability to work with internal and external partners.
  • Skilled at solving open and ambiguous problems.
  • Strong collaboration and mentorship skills.

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.

About Snap Inc.

Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. We're committed to empowering people to express themselves, live in the moment, learn about the world, and have fun together.

Our Values:

  • We move fast, with precision, and always execute with privacy at the forefront.
  • We're deeply committed to the well-being of everyone in our global community.

Benefits:

  • We offer comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success.
  • We're 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.

Compensation:

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.

Zone A (CA, WA, NYC): The base salary range for this position is $202,000-$303,000 annually.

Zone B: The base salary range for this position is $192,000-$288,000 annually.

Zone C: The base salary range for this position is $172,000-$257,000 annually.

This position is eligible for equity in the form of RSUs.