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Machine Learning Engineer - REMOTE

Search Partner Group, LLC

Full-time

United States

Job description

This international leader in Digital Content Data Analytics is seeking a Machine Learning Engineer. Can work fully remote from anywhere in the United States. Join a growing organization that is leveraging cutting-edge technologies like Snowflake, Kubernetes, Kafka, and Python. Machine Learning is at the core of the mission—powering intelligent features, driving product discovery, and applying Large Language Models (LLMs) to real-world applications and strategic decisions. This product-focused role involves business development/business analysis, production, ML Ops, and ML Modeling. Must be comfortable working in an environment with a very large volume of data.

Position Highlights

  • Full-time, Remote (Work from anywhere in the U.S.)
  • Collaborative, innovative environment focused on ML and Generative AI
  • Opportunity to work on high-scale, multi-tenant applications

Key Responsibilities

  • Design, develop, and deploy machine learning systems at scale.
  • Collaborate with product managers and engineering teams to deliver ML and generative AI-powered features.
  • Explore and prototype emerging generative AI technologies to solve complex business challenges.
  • Define and drive the technical roadmap for ML and AI initiatives.
  • Deploy models with cross-functional teams ensuring explainability, maintainability, and monitoring.
  • Contribute to architectural decisions and long-term ML infrastructure planning.
  • Participate in on-call rotation to maintain production reliability.

Requirements

  • 5+ years as a Machine Learning Engineer (B2B SaaS experience preferred).
  • Proven experience training, building, and deploying ML models in production.
  • Strong Python skills.
  • Advanced SQL and familiarity with data warehouses (Snowflake or similar).
  • Hands-on experience with ML tools (PyTorch, TensorFlow, Spark, MLFlow).
  • Experience implementing and scaling LLMs or foundation models in production (a plus).
  • Knowledge of multi-tenant data pipelines for large-scale applications.
  • Solid theoretical foundation in ML algorithms (degree in CS, Math, or Engineering). PhD would be preferred.
  • Excellent verbal and written communication skills, and comfortable interacting with the product development team.

Pay: $175,000.00 - $185,000.00 per year

Benefits:

  • 401(k) matching
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Application Question(s):

  • How many years of Machine Learning Engineering experience do you have?
  • Please detail your experience with building and deploying machine learning models in a production environment.
  • How many years of experience do you have with Python and SQL?

Work Location: Remote