Machine Learning Engineer

Machine Learning Engineer

Two Dots is using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we've built technology that is able to harness this data to make better lending decisions. We've coupled this underwriting agent with advanced document and identity anti-fraud, and we're working toward democratizing sophisticated consumer underwriting for all.

After raising our Series A, we are growing rapidly! And could use your expertise to help us become the new standard in consumer underwriting.

Please note that we require all full-time employees to work from our office in San Francisco, CA.

Role Overview

Reporting directly to our Co-Founder and CTO, Two Dots is looking for our first-ever Machine Learning Engineer. In this role you will design, develop, and deploy machine learning solutions, with a focus on fine tuning multimodal large language models (LLMs) to solve real-world problems. The ideal candidate will have a passion for building and deploying advanced ML applications, with the aim to produce business impact and client satisfaction.

Key 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

Desirable Traits

2+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch required

Proven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classification

Experience with active learning, 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, capable of explaining complex operational information in an understandable way

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!

What You Get In Return

An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impact

An environment with a work culture that is based on trust, ownership, flexibility and a growth mindset

A competitive salary, comprehensive equity package, and substantial benefits

Closing : Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!

Compensation is variable and is subject to a candidate's personal qualifications and expectations. For this role, we offer the following base salary range, in addition to an equity package and full benefits : $150k - $225k per year.