SR/LEAD/PRINCIPAL MACHINE LEARNING ENGINEER

$150,000 - $250,000/Yr

Tripalink Corp - Los Angeles, CA

Full-time - Mid Level

Remote - Los Angeles, CA

Real Estate

About the position

Tripalink is seeking Machine Learning (ML) engineers to develop AI-powered products that enhance user experience and provide scalable solutions for property owners. The role involves collaboration with cross-functional teams, technical leadership, and staying updated with emerging technologies in the AI field, particularly in Generative AI and Large Language Models (LLMs).

Responsibilities

• Collaborate with cross-functional teams to understand business and user needs and design AI-powered solutions.
• Develop, evaluate/test, fine-tune, and deploy various AI applications.
• Produce high-quality code and documentation for machine learning processes and architectures.
• Take on a technical leadership role within a team, across teams, and up to company level.
• Stay abreast of emerging technologies, especially new developments in GenAI/LLM areas, and spearhead the adoption of latest technologies and methodologies to improve our solutions.
• Proactively discover new approaches to leverage AI and new problems in our business to solve with AI.

Requirements

• 3+ years of experience as a ML engineer.
• Experience in shipping SaaS products or Internet services powered by LLMs is highly desirable.
• Bachelor's or Master's degree or PhD in Computer Science, ML, or a related field.
• Proficiency in programming in Python and Java.
• Experience in NLP, AWS and relational databases such as MySQL, PostgreSQL, etc. is highly desirable.
• Strong problem-solving skills with the ability to work independently and manage multiple tasks under pressure.
• Strong leadership and ability to communicate effectively and work well in a fast-paced environment that optimizes for quick iterations.
• Capability for technical innovation, willingness to share knowledge, and help elevate the team's technical level.

Benefits

• Competitive salary ranging from $150,000 to $250,000.
• Hybrid work environment with flexibility in location.