Senior ML Engineer, Applied Machine Learning - Remote

Overview

As a Senior Machine Learning Engineer at Trase Systems, you will be instrumental in advancing our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance.

In Short

• Architect, build, and optimize ML systems for real-world applications.
• Design and implement efficient training pipelines for ML models.
• Fine-tune LLMs to enhance accuracy and performance.
• Collaborate with product and business teams to translate requirements into ML solutions.
• Stay updated with the latest ML advancements.
• Mentor junior team members and communicate ML methodologies effectively.

Requirements

• Proven experience in developing and deploying ML systems.
• Strong background in managing end-to-end training pipelines.
• Hands-on experience in fine-tuning large language models.
• Proficiency in ML frameworks like TensorFlow and PyTorch.
• Proficient in Python programming.
• Ability to communicate complex ML concepts clearly.
• Bachelor’s or Master’s degree in a related field.
• Track record of delivering impactful ML solutions.

Benefits

• 100% employer paid health care for you and your family.
• Paid maternity and paternity leave for 14 weeks.
• Unlimited PTO with management approval.
• Opportunities for professional development.
• Occasional travel to collaborate with the team.
• Optional 401K and FSA available.
• Fully remote work within the United States.