Senior Machine Learning Engineer

Summary

Join Gemini's Trust and Safety team as a Senior Machine Learning Engineer and leverage your analytical and communication skills to shape the company's data approach. You will focus on improving transaction security, identifying and mitigating fraud, and enhancing payment strategies. Collaborate with cross-functional teams to build and deploy machine learning models, analyze large datasets, and communicate insights to stakeholders. This role requires in-person presence twice a week in either Seattle, WA, New York City, NY, or Miami, FL. You will work with other data scientists, analysts, engineers, and fraud operators to guide strategies, build machine learning models, and achieve KPIs. The position offers a competitive salary and benefits package.

Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field
• 4+ years of work experience in analytics and data science domain focusing on financial services-related business problems
• 3+ years of experience deploying statistical and machine learning models in production
• 2+ years of experience in integrating data science models into applications
• Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management
• Knowledge and experience of crypto exchange trading, financial markets, or banking
• Extensive knowledge of ML lifecycle management tools (Sagemaker, ML Flow, or similar ones), libraries, data structures, data modeling, and software architecture
• Advanced skills with SQL are a must
• Proficient in Python
• Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication

Responsibilities

• Design and develop Trust & Safety machine learning and AI models to optimize across fraud, crypto exchange trading, and anti money laundering
• Distill complex models and analysis into compelling insights for our stakeholders and executives
• Analyze large and complex datasets to identify patterns for feature engineering, trends, and anomalies and develop predictive models that can be used for decision-making
• Collaborate with software developers to design and implement machine learning systems that can improve the speed and accuracy of the machine learning models
• Monitor and analyze the performance of our machine learning models and systems and make necessary improvements to ensure their effectiveness
• Stay up-to-date with data science tools and methodologies in technology and financial domain
• Perform root cause analysis and resolve production and data issues

Preferred Qualifications

• Master’s degree in computational linguistics, data science, data analytics, or similar
• Proficient in Developing LookML
• Experience working with NLP applications is a plus
• Experience working in small firms, financial technology, or start up technology

Benefits

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off