Machine Learning Engineer

1 month ago

San Francisco, United States Acceler8 Talent Full time

Machine Learning Engineer


Are you an experienced Machine Learning Engineer looking to develop models that predict job performance more effectively than traditional methods? This opportunity is ideal for engineers passionate about using machine learning to solve complex, real-world problems. You'll join a team trusted by a wide range of clients, from emerging startups to leading AI labs, to train models at scale and push the boundaries of LLM capabilities.


About the Company

This organization is driving innovation by creating predictive models that redefine job performance assessments, attracting the attention of high-profile clients in various sectors. With robust financial backing and steady growth, this team is scaling its technology and impact rapidly, supported by significant investment from some of the most respected names in tech.


About the Role

As a Machine Learning Engineer, you'll focus on developing and refining models that utilize large language models and other advanced techniques. Your experience with backend development and machine learning will be essential to creating solutions that can meet the diverse and challenging needs of our clients. This is a hands-on role for someone who thrives in a fast-paced, growth-oriented environment.


What We Can Offer You

  • Collaborative environment focused on hands-on problem-solving.
  • Access to cutting-edge AI and ML resources.
  • Opportunities to work with high-profile clients in the tech industry.
  • High-impact role with ownership over critical parts of the ML pipeline.
  • Support for continuous learning and professional development.


Key Responsibilities

  • Develop and deploy machine learning models, particularly focused on LLMs and other transformer-based models.
  • Design and implement backend services, utilizing Python and Django.
  • Create and maintain efficient databases and write optimized SQL queries.
  • Collaborate with cross-functional teams to understand complex requirements and develop rapid, viable solutions.
  • Ensure model performance and accuracy through rigorous testing and monitoring.
  • Implement and manage cloud infrastructure using GCP or AWS.

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