Remote ML Engineer: Transformers & Large-Scale Models

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

Benefits offered by this job

Telecommuting permitted

Job summary

Spotify is seeking a Machine Learning Engineer in NY, NY to build product systems that enrich listener experiences using ML techniques. The role requires 2+ years in ML, Python-based model development, and experience with large-scale data and PyTorch.

Responsibilities include developing ML models, performing data preprocessing, SQL-based data analysis, and implementing transformer/contrastive learning architectures. Telecommuting permitted within commuting distance of NY office.

Qualifications

• Bachelor's degree in a relevant field (Engineering/CS/Math/Physics)
• At least 2 years of experience in Machine Learning or a related role
• At least 2 years developing ML and deep learning models with Python
• Experience with large-scale dataset processing, SQL, and model evaluation
• Experience with PyTorch and transformer/contrastive learning models

Responsibilities

• Build product systems that enhance Spotify listeners' experience using machine learning techniques
• Develop ML and deep learning models in Python for large-scale datasets, including data preprocessing and feature engineering
• Use SQL for large-scale data analysis and validation to support model development and evaluation
• Implement and train neural network models such as transformers and contrastive learning architectures using deep learning frameworks (e.g., PyTorch)

Skills

Python

SQL

PyTorch

Transformers

Data preprocessing

Deep learning

Education

Bachelor's degree in Engineering / Computer Science / Mathematics or related field

Job description

Spotify is seeking a Machine Learning Engineer in NY, NY to build product systems that enrich listener experiences using ML techniques. The role requires 2+ years in ML, Python-based model development, and experience with large-scale data and PyTorch.

Responsibilities include developing ML models, performing data preprocessing, SQL-based data analysis, and implementing transformer/contrastive learning architectures. Telecommuting permitted within commuting distance of NY office.