Note: The job is a remote job and is open to candidates in USA. Indeed is a job site that uses innovative technology and machine learning to connect job seekers with opportunities. The Machine Learning Engineering Manager will lead data scientists and machine learning engineers on the Responsible AI team, developing safe, compliant, and fair AI products. The role is responsible for technical direction, large-scale initiative execution, cross-functional collaboration, team development, and delivery of machine learning solutions.

Responsibilities

• Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications
• Work to understand, prioritize, and plan the team’s work items without external guidance
• Ensure delivery of machine learning solutions, set expectations for what can be done and by when, and prioritize incoming projects
• Improve existing Agile, ML, and A/B testing processes and develop new ones
• Scope projects, gather and improve on requirements, and delegate work effectively
• Partner with and provide project direction and feedback to cross-functional peers, including Product Managers, Software Engineers
• Remove roadblocks and give individual contributors autonomy and ownership
• Brainstorm with teammates about practical experimental design, navigating production codebases, and model development
• Be prepared to closely engage and contribute directly to implementation when necessary

Skills

• Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master's degree with a minimum of 6 years of experience; or a PhD with a minimum of 3 years experience
• Demonstrated achievement as a Manager in Machine Learning Engineering, overseeing teams of 3 or more, and addressing intricate, large-scale problems
• Well-versed in coding (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark
• Have full-stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring
• Highly effective in coaching Machine Learning Engineers, facilitating qualification enhancement, and fostering career development

Benefits

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• A Paid Time Off policy
• Many region-specific benefits
• US-Remote work arrangement

Company Overview

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