Harnham

Senior Machine Learning Engineer

Seattle, WA, US

$180k
20 days ago
Save Job

Summary

Senior Machine Learning Engineer

Remote

Up to $200,000 + Bonus





Company:


A leading AI platform in the advertising space is seeking a Senior Machine Learning Engineer to help drive the development of its LLM and foundational model product suite. This role involves building and deploying advanced ML models to solve real-world business challenges with close collaboration across product and engineering teams.




Role:

  • Design, build, and deploy machine learning models, including large language models (LLMs) and foundational models, to address real-world challenges.
  • Develop and refine components within ML pipelines, focusing on LLM integration, robust monitoring, and seamless product implementation.
  • Collaborate with product teams to ensure ML solutions align with business objectives and deliver meaningful user value.
  • Work alongside engineering teams to embed models into production systems, optimizing for scalability, performance, and reliability.
  • Apply deep technical knowledge to maintain high pipeline availability and ensure low-latency performance.
  • Conduct experiments to explore new methodologies and continuously track model effectiveness in production environments.
  • Utilize platforms such as AWS, Databricks, and Snowflake for resource management, model deployment, and artifact maintenance.
  • Stay current with cutting-edge developments in ML, LLMs, and foundational models to drive innovation and solution enhancement.




Requirements:

  • You need to have a MSc or PhD level in Stem subject.
  • You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
  • DevOps experience in CI/CD.
  • Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
  • Experience using Python is a must (tools like AWS and Spark are beneficial)
  • Excellent communication skills and team and colleague engagement.
  • A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems




Salary and Benefits


  • $180,000 - $200,000 base salary
  • Bonus
  • Remote work





How to Apply


Please register your interest by sending your CV via the Apply link on this page.





Desired Skills and Experience

Machine learning engineering, MLOps

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