# Master's University Grad Machine Learning Engineer 2027 (USA)

**Company**: Pinterest
**Location**: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Salary**: $146,000-$196,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8140219?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2462e76a-234

## Description

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence.

You will contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.

Your responsibilities will include:

- Collecting, analyzing, and synthesizing findings from data and building intelligent data-driven models

- Writing clean, efficient, and sustainable code

- Using machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads, and search

- Designing, building, and testing models to predict engagement for notifications

- Building content recommendation systems to power push, email, and in-app notifications

- Working on state-of-the-art large-scale applied machine learning projects

- Scoping and independently solving moderately complex problems

To qualify, you will need:

- A Master's in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field

- Experience with machine learning, including ranking, computer vision, NLP, content recommendations, embedding, and information retrieval

- Experience with big data technologies such as Hadoop and Spark, and scalable real-time systems that process stream data

- Mastery of at least one systems language, such as Java, C++, or Python, or one ML framework, such as Tensorflow, Pytorch, or MLFlow

- Proficiency with AI-native engineering, including designing agent-friendly codebases

- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability

- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints

- Experience in research and solving analytical problems

- Strong communication and teamwork skills

The base salary range for this position is $146,000-$196,000 USD.

## Skills

### Required
- Machine Learning
- Natural Language Processing
- Graph Analysis
- Python
- Java
- C++
- Tensorflow
- Pytorch
- MLFlow
- Hadoop
- Spark

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8140219?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)