Job Description

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Two Dots is a consumer underwriting and fraud prevention agent company, seeking to revolutionize the way consumer underwriting is done using AI. The Machine Learning Engineer will design, develop, and deploy machine learning solutions, focusing on fine-tuning multimodal large language models to solve real-world problems.

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

Qualification

Required

• 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
• 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!

Preferred

• Experience with active learning, HITL driven workflows; working with large labeling and quality teams is a plus

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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