Two Dots is working to remake the way lending is done using AI, starting with real estate. Our founding team are Goldman, Google, and Blend alum, and we're always interested in talking with other extremely intelligent and hard working people.

Two Dots is using AI to remake underwriting, starting with a set of software power tools for large residential property managers. We’re streamlining document intensive financial workflows with technology that accurately extracts information from financial documents. We’ve combined this system with advanced document verification software to create a source of trustworthy self-furnished data that makes underwriting 10x more efficient and effective for our clients.

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

Please note that we require all full-time employees to work from our office in Venice Beach, 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
• A chance to help build a company from the ground up, from a beautiful office right on the water in Venice Beach, CA
• 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.

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