Machine Learning Engineer

We are seeking a talented and passionate Machine Learning Engineer to join our scalable machine learning and AI engineering team. As a Machine Learning Engineer, you will design, build, and deploy scalable and efficient machine learning systems to solve complex problems. Responsibilities include developing data preprocessing pipelines, designing and implementing tailored machine learning models, training and optimizing models using extensive datasets, collaborating with software engineers for integration, conducting experiments for model enhancement, and monitoring and maintaining deployed models. Required qualifications include 3+ years of experience in building machine learning models, a PhD/Master's degree in an appropriate discipline, programming experience in Python, and familiarity with neural deep learning methods and modeling tools. Preferred qualifications include 5+ years of applied research experience.

• Develop data preprocessing pipelines, ensuring data quality and readiness for machine learning by performing cleaning, feature extraction, and transformation.
• Design and implement tailored machine learning models and algorithms to address specific business objectives.
• Train, optimize, and validate models using extensive datasets, achieving high performance and robust generalization.
• Collaborate with software engineers to smoothly integrate machine learning models into production systems, prioritizing scalability and reliability.
• Conduct experiments and A/B tests to continually enhance model efficacy, utilizing results for iterative algorithm improvement.
• Monitor and maintain deployed models, proactively addressing issues like drift, bias, and performance deterioration; ensuring long-term efficiency.

• 3+ years of building machine learning models for business application experience
• PhD/Master's degree in appropriate discipline
• Experience programming in Python
• Experience with neural deep learning methods and machine learning
• Experience with modeling tools such as scikit-learn, Tensorflow, numpy, pandas, scipy etc.
• 5+ years of applied research experience (preferred)

• Competitive annual salary range of $180,000 - $195,000 + bonus & equity (for residents of San Francisco/Bay Area, CA or New York, NY)
• Opportunity to work with a talented and passionate team
• Access to a world-class technology platform
• Exposure to the largest network of buyers and sellers in the world
• Liquidity solutions for private shares
• Exclusive data and insights
• Custody offering
• Vibrant marketplace for private unicorn growth
• Opportunity to work on complex problems and solve them using machine learning and AI
• Collaborative work environment with software engineers
• Continuous learning and improvement through experiments and A/B tests
• Monitoring and maintenance of deployed models
• Opportunity to work with large-scale distributed systems such as Hadoop and Spark (preferred qualification)
• Opportunity to work with ML Ops, AWS Cloud Services, or Similar, and DevOps tooling (preferred qualification)
• Mandatory COVID-19 Vaccination Policy for employee safety
• Equal opportunity employer that values diversity