Senior Machine Learning Engineer, Trust & Safety

February 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $152k - $213k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Gemini

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Gemini is a simple and secure platform designed to help users build their cryptocurrency portfolio. It provides a professional-level crypto trading platform called ActiveTrader, which caters to both experienced traders and beginners. Owned by Gemini, Nifty Gateway is a premier NFT marketplace focused on the buying, selling, and storing of digital art on the blockchain. Gemini is recognized for its industry-leading security and compliance standards, being ISO 27001 and SOC 2 Type 2 certified, making it a licensed New York trust company subject to regular audits. Gemini also offers institutional products and services for businesses, private wealth, professional traders, and institutional investors, including exchange, custody, and staking services.

501 - 1000 employees

Founded 2014

₿ Crypto

💳 Fintech

🔐 Security

📋 Description

• As a member of our Trust and Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. • You will focus on transactions, account takeovers, scams, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. • You know how to ask the right questions and are passionate about using machine learning to support and drive informed business decisions. • You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. • You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies, build machine learning models, and achieve KPIs while communicating your insights with leaders across the organization.

🎯 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 frameworks (Sagemaker or ML Flow), 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.

🏖️ 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