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Mid LevelFull-timePythonAWSKubernetesDockerMachine LearningPyTorchMLNLP
Salary Range
$73,440 - $99,360 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join our Growth Platform engineering group at Pinterest. You will help us understand our users better to drive engagement and growth, and improve their user experience.
Key Responsibilities
- →Develop and implement ML models to improve user targeting and personalization for growth initiatives
- →Design and build scalable ML pipelines for data processing, model training, and deployment
- →Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
- →Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
- →Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
- →Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
- →Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
- →Participate in code reviews and collaborate with team members as needed
Requirements
- ✓3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
- ✓Excellent communication skills and ability to work effectively in cross-functional teams
- ✓Strong problem-solving skills and ability to translate business requirements into technical solutions
- ✓Strong programming skills in Python and experience with PyTorch
- ✓Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
- ✓Experience with recommendation systems, user modeling, or personalization algorithms
- ✓Familiarity with statistical analysis
- ✓Bachelor’s/Master’s degree in a relevant field or equivalent experience.
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