[Hiring] Staff Machine Learning Engineer @Indeed

Role Description

As a Staff Machine Learning Engineer in our Staffing Technology Marketplace group, you'll own the source data, the models and the business impact behind Indeed's AI-first staffing platform, which agencies, employers and the MSPs that coordinate them use every day to take orders, book workers and manage shifts.

• Set the technical direction for turning labor-market activity into predictive models.
• Predict whether a booked worker will turn up and how fully an order will fill.
• Identify which orders are at risk early enough for action.
• Translate predictions into actionable decisions for customers.
• Work with customers and teams to define, build and evaluate production models.
• Ensure model health and catch degradation before customers notice.
• Design ranking and reliability scoring for worker pool health.
• Make models work from day one for new agencies with no history.
• Ensure recommendations are explainable and configurable to each agency's risk appetite.
• Shape the roadmap with product, engineering, and design based on model insights.
• Collaborate with legal and engineering on foundational questions.

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 3 years experience.
• Proven experience building ML for two-sided marketplaces, staffing, on-demand labor, or similar operational businesses.
• Experience solving cold-start and sparse-data problems in production.
• Prior success in deploying impactful Machine Learning solutions to large-scale production systems.
• Solid knowledge of data structures and algorithms.
• Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.).
• Excellent written and verbal communication in English.

Requirements

• Partner with cross-functional teams to enhance and optimize search algorithms.
• Experiment with Proof of Concept Machine Learning model improvements.
• Define and clarify project priorities, deliverables, and success criteria.
• Act as a bridge between technical and non-technical collaborators.
• Mentor and grow other software engineers and Machine Learning Engineers.
• Break down larger Machine Learning initiatives into incremental business value.
• Represent Indeed at major Machine Learning conferences.

Benefits

• Quarterly bonuses.
• Restricted Stock Units (RSUs).
• Paid Time Off policy.
• Region-specific benefits.

Company Description

As the world’s number 1 job site, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves.