Snap Inc

Machine Learning Engineer, Level 3

Snap Inc$118K — $176K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or a related technical field or equivalent practical experience
  • 1+ years machine learning experience post-Bachelor's or a relevant Master's degree
  • Experience with developing machine learning models for applications like ranking and recommendations
  • Strong understanding of machine learning algorithms and techniques
  • Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

Responsibilities

  • Build and deploy machine learning models for Snapchat products
  • Apply established ML techniques to solve real-world problems
  • Contribute to the machine learning lifecycle from data analysis to deployment
  • Collaborate with cross-functional teams to launch ML-driven features
  • Utilize AI tools and agile engineering workflows to design scalable services

Benefits

  • Eligible for equity in the form of RSUs
  • Opportunity to work with cutting-edge machine learning technologies
  • Collaborative work environment with diverse teams
  • Chance to influence major features of a widely used product
  • Professional development opportunities through access to evolving AI systems
Full Job Description
We’re looking for a Machine Learning Engineer to join Snap Inc! What you’ll do: • Build and deploy machine learning models for core Snapchat products • Apply established ML techniques to solve well-defined, real-world problems • Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment • Collaborate with cross-functional partners and teammates to implement and launch ML-driven features • Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code 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 • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices Minimum Qualifications: • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience • 1+ years of post-Bachelor’s machine learning experience; or Master’s degree in a relevant technical field • 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 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. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. Zone A: The base salary range for this position is $118,000-$176,000 annually. Zone B: The base salary range for this position is $112,000-$167,000 annually. Zone C: The base salary range for this position is $100,000-$150,000 annually. This position is eligible for equity in the form of RSUs.

About Snap Inc

Snap Inc. is a camera and social media company. It was founded in 2011 by Evan Spiegel, Bobby Murphy, and Reggie Brown. The company is known for its Snapchat app, which allows users to send photos and videos that disappear after being viewed. Snap Inc. is headquartered in Santa Monica, California and has offices around the world. The company went public in 2017 and is listed on the New York Stock Exchange.
Learn more about Snap Inc
Size
5,661 employees
Market Cap
$13.9 billion
Industry
Net Income
-$944.8 million
Founded
2016
5 Year Trend
+59.1%
Revenue
$2.5 billion
NASDAQ

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