Senior ML Engineer — Fully Remote (PyTorch, MLOps)

Harnham; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Comprehensive health coverage

Generous PTO and company holidays

Flexible remote working options

Job summary

A leading technology firm is seeking a Senior Machine Learning Engineer to build scalable ML infrastructure and deploy production-grade models. This fully remote role requires expertise in PyTorch, Python, and PySpark, along with a strong understanding of CI/CD workflows. The ideal candidate holds an MSc or PhD in a relevant field and has hands-on experience with Databricks. This position offers a competitive salary and comprehensive benefits including health coverage and generous PTO.

Qualifications

• Strong ML engineering with proficiency in PyTorch.
• Hands-on experience with Databricks.
• Expert-level Python and PySpark skills for large-scale data processing.

Responsibilities

• Architect and train neural-network models for optimization and audience modeling.
• Build multi-GPU training pipelines and implement hyperparameter tuning strategies.
• Develop feature-engineering workflows using PySpark.

Skills

ML engineering

Proficiency in PyTorch

Python

PySpark

MLOps

Education

MSc or PhD in Computer Science, Machine Learning, or related field

Tools

Databricks

AWS

Snowflake

Job description

A leading technology firm is seeking a Senior Machine Learning Engineer to build scalable ML infrastructure and deploy production-grade models. This fully remote role requires expertise in PyTorch, Python, and PySpark, along with a strong understanding of CI/CD workflows. The ideal candidate holds an MSc or PhD in a relevant field and has hands-on experience with Databricks. This position offers a competitive salary and comprehensive benefits including health coverage and generous PTO.