Machine Learning Engineer

$150,000 - $225,000/Yr

Two Dots - Los Angeles, CA

Full-time - Mid Level

Los Angeles, CA

Motion Picture and Sound Recording Industries

About the position

Two Dots is seeking a Machine Learning Engineer to design, develop, and deploy machine learning solutions, particularly focusing on fine-tuning multimodal large language models (LLMs) to enhance consumer underwriting processes in residential real estate. This role is pivotal in leveraging AI to unlock financial data and improve lending decisions, contributing to the company's mission of democratizing sophisticated consumer underwriting.

Responsibilities

• Work autonomously to design, develop and deploy machine learning models.
• Analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences.
• Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements.
• Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services.

Requirements

• 2+ years of experience in a Machine Learning or Data Engineering role.
• Strong proficiency in Python and ML frameworks like PyTorch.
• Proven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classification.
• Experience with active learning and HITL driven workflows; working with large labeling and quality teams is a plus.
• Strong problem-solving skills, with the ability to think critically and creatively.
• Excellent communication and interpersonal skills.

Nice-to-haves

• A proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problems.
• Hungry for personal and professional growth and ready to scale with Two Dots.

Benefits

• Competitive salary
• Comprehensive equity package
• Substantial benefits
• Opportunity to revolutionize the real estate leasing industry
• Chance to help build a company from the ground up
• Work culture based on trust, ownership, flexibility, and a growth mindset