Indeed

UniTriTeam is a global leader in providing operational, administrative, and technology support to clinical research sites. We take pride in our mission to help advance medicine and make a real impact in healthcare. By joining our team, you’ll benefit from: A collaborative and supportive work environment Opportunities for professional growth and advancement A chance to be part of meaningful research initiatives that change lives

Machine Learning Engineering Manager

Location

United States

Posted

23 hours ago

Salary

$163K - $341K / year

Seniority

Lead

No structured requirement data.

Job Description

Machine Learning Engineering Manager

Indeed

Role Description 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. - Develop sustainable methods that ensure strict standards for all AI products at Indeed. - 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. - Evaluation suites for evaluating AI for compliance, fairness, and safety before they launch. - Manage multiple data scientists and machine learning engineers. - Set the technical direction of the science team and drive execution of large-scale initiatives. - Ensure that your teams deliver high-quality solutions that improve experiences for job seekers and employers. - Collaborate with your engineering counterpart on the RAI team to move science projects from proof-of-concept to infrastructure. - Foster an innovative and open team culture while ensuring operational excellence among your team. Qualifications - Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with 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. - 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. Requirements - 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 and 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. Benefits - Quarterly bonuses. - Restricted Stock Units (RSUs). - Paid Time Off policy. - Many region-specific benefits.

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MongoDB, originally called 10gen, is a software development company. Since 2007, MongoDB has created an open-source, document-oriented database to help clients

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We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. 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