Two Dots · 2 months ago
Machine Learning Engineer
Two Dots is building a better system to evaluate consumers consistently and fairly. They are seeking a Machine Learning Engineer to design, develop, and deploy machine learning solutions, focusing on fine-tuning multimodal large language models to enhance application approval automation and fraud detection capabilities.
Artificial Intelligence (AI)Fraud DetectionNetwork Security
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
3+ 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
Benefits
Comprehensive equity package
Substantial benefits
Full benefits
Company
Two Dots
Two Dots is a consumer underwriting and fraud prevention agent company
Funding
Current Stage
Growth StageTotal Funding
$19.5MKey Investors
Y Combinator
2024-08-28Series A· $15M
2023-03-01Seed· $4M
2022-08-22Pre Seed· $0.5M
Recent News
2025-04-21
Company data provided by crunchbase