Senior Staff Machine Learning Engineer at Workiva defining enterprise - level AI architecture and solutions. Leading technical direction and influencing secure AI platform design across multiple teams.
About the role
- Senior Machine Learning Engineer architecting ranking systems for Instacart's search and recommendations. Collaborating with teams to optimize personalization, revenue, and user experience.
Responsibilities
- Architect the ranking backbone that unifies query understanding, personalization, multi-objective ranking, ads, and merchandising into a single adaptive platform.
- Design and build a search autosuggest system optimized for personalization and value-based relevance.
- Design long-horizon objective functions (e.g., incrementality, LTV, habit formation) and build uplift/causal value models that move beyond short-term engagement.
- Develop production-grade Multi-Task Learning (e.g., shared encoders, MMOE/PLE task heads) to jointly learn relevance, propensity, margin, and churn risk—ensuring calibration, constraints, and explainability.
- Own the inference layer: goal-aware re-rankers, diversity and quality constraints, safe exploration, and millisecond-class latency optimization.
- Advance evaluation practices: online experiments, long-horizon cohort metrics, counterfactual evaluations, and attribution pipelines for tracking incremental GTV and retention.
- Partner across ads, infrastructure, product, and design teams to translate business goals into ranking policies and measurable ROI.
- Mentor ML engineers to build expertise in ranking, causal inference, and scalable serving systems.
Requirements
- 4+ years applying ML at scale with a Master’s degree, or 2+ years for PhD, with a proven track record improving ranking or recommendation systems in production.
- Demonstrated success in applying multi-objective or constrained optimization to balance relevance, revenue, margin, and user experience; experience with online testing and attribution beyond CTR.
- Strong coding (Python) and data fluency (SQL/Pandas), with expertise in classic ML techniques (e.g., XGBoost) and deep learning frameworks (TensorFlow/PyTorch).
- Excellent analytical skills and strong cross-functional communication abilities.
Benefits
- Instacart provides highly market-competitive compensation and benefits in each location where our employees work.
- This role is eligible for a new hire equity grant as well as annual refresh grants.
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