ML Engineer — AI for Anti-Money Laundering

Quantiply Corporation; San Jose (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Quantiply Corporation is looking for skilled software engineers to develop innovative solutions in the field of machine learning and artificial intelligence. This role involves collaboration with researchers to prototype new techniques aimed at combating money laundering, utilizing state-of-the-art technologies.

The ideal candidates will have substantial experience with deep learning, performance optimization, and software architecture. Responsibilities include developing scalable models, optimizing systems, and partnering with product teams to influence the roadmap.

Qualifications

• PhD or equivalent practical experience in relevant fields.
• Strong knowledge of machine learning and its techniques.
• Strong verbal and written communication skills.

Responsibilities

• Develop scalable deep learning and Bayesian models.
• Support research projects with innovative designs.
• Optimize performance of complex ML systems.
• Design and develop software libraries.
• Partner with teams to explore new opportunities.
• Influence product features through analysis.
• Report and present developments verbally and in writing.

Skills

Machine learning

Artificial intelligence

Python

Docker

Kubernetes

Tensorflow

Statistics

Education

PhD in computer science, machine learning, electrical engineering, mathematics

Tools

Docker

Kubernetes

Tensorflow

Job description

Quantiply Corporation is looking for skilled software engineers to develop innovative solutions in the field of machine learning and artificial intelligence. This role involves collaboration with researchers to prototype new techniques aimed at combating money laundering, utilizing state-of-the-art technologies.

The ideal candidates will have substantial experience with deep learning, performance optimization, and software architecture. Responsibilities include developing scalable models, optimizing systems, and partnering with product teams to influence the roadmap.