Senior Machine Learning & Optimization Engineer

August 5

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Description

• Design and implement enterprise-scale MLOps systems and platforms, setting standards for high-performance ML products. • Productionalize and support scalable and efficient Machine Learning models and solutions. • Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads. • Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence. • Navigate complex problem-solving situations, contributing to decisions that affect the broader business's strategic direction. • Utilize CI/CD best practices to ensure the enterprise keeps with innovative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.

Requirements

• Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience • Expertise in high-performance backend technologies, preferably including Golang • Extensive experience with cloud and/or on-premises distributed systems, data-intensive applications, and large-scale backend system design • Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks • Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges • Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines • A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems

Benefits

• Comprehensive health, dental, and vision plans for you and your dependents • Paid time off, health days, and personal obligation days plus flexible work schedules • Competitive retirement matching plans • Equity packages • Generous parental leave available to birthing, non-birthing, and adoptive parents • Annual well-being allowance plus fitness discounts and group wellness activities • Commuter benefits and discounts, where available • Employee assistance program • Mental health first aid program that provides an in-the-moment point of contact and reassurance • One day of volunteer time off per year and a donation-matching program • Bi-weekly town halls and regular community-led team events • Multiple resources and programming to support continuous learning • A workplace that supports a diverse, equitable, and inclusive environment