Machine Learning Engineer (Entry Level)
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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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- Location:
- San Francisco, CA, United States
- Salary:
- $250,000 +
- Job Type:
- FullTime
- Category:
- Engineering