Machine Learning Engineer Menlo Park, CA or Seattle, WA

$125,000 - $175,000/Yr

Numbers Station

Full-time - Mid Level

About the position

As a Machine Learning Engineer at Numbers Station, you will play a crucial role in leveraging advanced artificial intelligence to automate enterprise data tasks. Your primary focus will be on improving the accuracy and performance of machine learning systems, engaging with customers to address their specific needs, and integrating innovative solutions into the Numbers Station platform. This position offers the opportunity to work in a dynamic startup environment that is redefining how enterprises utilize AI.

Responsibilities

• Improve accuracy of production machine learning systems by applying the latest research and creative solutions.
• Own end-to-end accuracy and performance for machine learning solutions.
• Stay up to date on the latest research publications and assess their production and scalability potential.
• Work closely with product leadership and customers on training datasets and error analysis.

Requirements

• 3+ years of professional experience with machine learning, or 1+ years with an advanced degree in a relevant field.
• Expertise in modern machine learning frameworks and technologies (e.g., PyTorch, TensorFlow, transformers).
• Strong coding skills and knowledge of ML techniques and algorithms.
• Ability to work in a fast-paced environment and navigate ambiguity.
• Strong technical communication skills.
• Self-motivation, positive attitude, and a growth mindset.
• Experience using and developing with foundation models.
• Experience working directly with customers on machine learning problems.
• Experience building and maintaining large scale, production data pipelines for machine learning applications.

Benefits

• Competitive compensation package including startup equity.
• Health insurance and other benefits.