Machine Learning Engineering Manager

Indeed•Remote,

1d•$163,000 - $341,000

About The Position

At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes. As a Machine Learning Engineering Manager on the Responsible AI team (RAI), you will oversee multiple data scientists and machine learning engineers towards the goal of ensuring safe, compliant, and fair AI products for all users of the Indeed platform. You will also work collaboratively with partner teams across the business, including Product, Software Engineering, UX, Legal, and Trust teams. You will develop sustainable methods that ensure strict standards for all AI products at Indeed. You will design and build data science tools supporting Indeed's Responsible AI goals, including classifiers for verifying safe AI output and preventing sensitive data leakage; red-teaming agents for stress-testing AI systems for harmful content; and evaluation suites for evaluating AI for compliance, fairness and safety before they launch. In this role, you will manage multiple data scientists and machine learning engineers. You will set the technical direction of the science team, drive execution of large-scale initiatives, and ensure that your teams deliver high-quality solutions that improve experiences for job seekers and employers. You will collaborate with your engineering counterpart on the RAI team to move science projects from proof-of-concept to infrastructure. You will also play a key role in fostering an innovative and open team culture while ensuring operational excellence among your team.

Requirements

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

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.