Remote Senior Machine Learning Engineer

Description:

• SupportLogic SX™ is a platform that enhances customer service experience using natural language processing (NLP) and machine learning (ML).
• The platform integrates with existing ticketing systems to analyze comments in tickets, extracting key signals related to customer sentiment and churn.
• The Senior Machine Learning Engineer will work on creating and leveraging advanced ML models, particularly Large Language Models (LLMs).
• Responsibilities include maximizing the value of SupportLogic through ML performance, ensuring consistent model performance in production, and collaborating with various teams to enhance user experience.
• The role requires improving ML organization efficiency to boost customer confidence in predictions and expedite the training and rollout of new ML models.
• Key tasks involve increasing the velocity of ML model deployment, validating model rollouts, measuring prediction accuracy, automating model retraining, and building internal tools to enhance productivity.
• The position is suited for self-starters who are comfortable with new technologies and processes in a fast-paced environment.

Requirements:

• A self-starter with a passion for contributing in a fast-paced startup environment is essential.
• Technical leadership experience to help drive the ML direction and vision of the team is required.
• A B.S. degree or equivalent in Computer Science, Mathematics, or a related field is necessary.
• Professional experience as a full-time machine learning engineer is required.
• A minimum of 5 years of experience in building ML products is needed.
• At least 3 years of experience using Large Language Models in production is essential.
• Strong proficiency in software development and system design is required.
• Fluency in Python is mandatory.
• Experience with common Python data science libraries such as PyTorch, HuggingFace, Pandas, numpy, and scikit-learn is necessary.
• Familiarity with the lifecycle of model training, evaluation, and deployment is required.
• Experience using SQL is essential.

Benefits:

• Healthcare (medical) coverage for employees, spouses, and children is fully provided.
• Employees receive equity (stock options) as part of their compensation.
• The company promotes a remote-first, collaborative, and transparent culture.
• Paid Time Off (PTO) is encouraged for employees to recharge.