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Lead Machine Learning Engineer - Remote

Posted 1 week ago
Software Development
Full Time
USA

Overview

We are seeking an exceptional and skilled Machine Learning Engineer to lead Novaprime's ML team, pivotal in designing state-of-the-art ML products and developing core infrastructure that powers Novaprime's solutions.

In Short

  • Fully remote role within the U.S. with a preference for East Coast.
  • Lead the ML team and manage the team’s roadmap and execution.
  • Evaluate ML models and architectures, and fine-tune systems.
  • Collaborate with the engineering organization to deliver efficient solutions.
  • Own the end-to-end ML lifecycle from ideation to production deployment.
  • Implement best practices in MLOps and monitor automated pipelines.
  • Stay current with the latest technologies in the field.
  • Assist engineers and drive the implementation of ML systems.
  • Collaborate with product managers and stakeholders.
  • Build quality assurance and data protection processes.

Requirements

  • B.S. in Computer Science or equivalent experience.
  • 10+ years of industry experience.
  • Experience with PyTorch and the Python scientific stack.
  • Knowledge of large-scale distributed application architecture.
  • Experience with cloud platforms AWS/GCP/Azure.
  • Strong communication skills for remote work.
  • Positive and solution-oriented mindset.
  • Exceptional teamwork and independent work capabilities.

Benefits

  • Competitive salary, equity, and benefits.
  • Mostly remote work.
  • Opportunity to make a difference for millions of homeowners.
Novaprime logo

Novaprime

Novaprime is a forward-thinking mortgage technology company committed to transforming the mortgage industry and making homeownership more affordable. By focusing on outcomes and leveraging emerging technologies, Novaprime collaborates with existing industry participants and is backed by leading institutions and investors. The company aims to innovate and enhance the mortgage process through advanced machine learning solutions, ensuring that they remain competitive and effective in delivering value to their customers.

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