ML Engineer II — Remote, Build & Ship ML Solutions

New York Times; New York (NY); On-site; USD 170,173 - 255,259; Full time

Job summary

Spotify USA, Inc. in NY, NY is seeking a Machine Learning Engineer II to contribute to hands-on ML development, building data pipelines, and deploying models to production.

The role requires a strong background in Python, ML frameworks (PyTorch, Scikit-learn, Ray), and experience shipping model-powered features. The candidate should have a Bachelor's degree and several years of experience with REST APIs, CI/CD, Docker, and Kubernetes.

Qualifications

• Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Machine Learning, Statistics, or related field.
• 5 years of experience in a job offered or related role.
• 5 years of experience with using Python to design and implement data pipelines.
• 3 years of experience with feature engineering and train/evaluate machine learning models.
• 2 years of experience with REST APIs and CI/CD.
• 1 year of experience with automated software deployment using Docker and Kubernetes.

Responsibilities

• Contribute to design, build, evaluate, ship, and refine Spotify's product through hands-on machine learning development.

Skills

Python

Data pipelines

PyTorch

Scikit‑learn

Ray

Feature engineering

Model training/evaluation

REST APIs

CI/CD

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field

Tools

PyTorch

Scikit-learn

Ray

Docker

Kubernetes

REST APIs

Job description

Spotify USA, Inc. in NY, NY is seeking a Machine Learning Engineer II to contribute to hands-on ML development, building data pipelines, and deploying models to production.

The role requires a strong background in Python, ML frameworks (PyTorch, Scikit-learn, Ray), and experience shipping model-powered features. The candidate should have a Bachelor's degree and several years of experience with REST APIs, CI/CD, Docker, and Kubernetes.