Senior Recommendation Engineer
NewsBreak
Mountain View, CA, United States Posted September 30, 2026
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Salary Range
$150,000 - $300,000
Job Description
Join our team as a Senior Recommendation Engineer, where you will build and own the recommendation and ranking systems for our content feed, design an event-triggered engagement engine, and develop customer-to-professional matching. You will work from home, enjoy paid time off and holidays, and have access to a top-tier 401(K) plan with company matching, health, dental, and vision care for you and your family.
- Concevoir et posséder les systèmes de recommandation et de classement pour les surfaces de flux, de la génération de candidats à l'expérimentation en ligne et à la surveillance.
- Développer le moteur d'engagement déclenché par des événements en collaboration avec l'équipe de la plateforme de messagerie : détection des conditions, modélisation de la propension et de l'élévation, gestion de la fréquence.
- Construire le matching client-professionnel, en commençant par des règles transparentes et en évoluant vers un classement appris, avec un contrat explicite de justice et d'exposition.
- Strong Python plus at least one of Java, Scala, or Go; production experience with feature stores and streaming pipelines
- Substantial online experimentation experience on ranking changes, and can explain at least one test that failed and why
- Deployed an uplift, causal, or counterfactual model in production, or can give a rigorous account of why click-based objectives are wrong for rare, high-cost decisions
- Ability to explain modeling decisions to product and business stakeholders and to defend experimental design under commercial pressure
- Built and operated a ranking system at consumer scale, millions of users, including candidate generation, ranking, and monitoring
- 5+ years of machine-learning or software engineering, including 3+ years shipping recommendation or ranking systems in production
- Publications or open-source contributions in recommendation, causal inference, or marketplace design
- Domains with low-frequency, high-consequence decisions such as insurance, healthcare, or real estate
- Feed or notification ranking at a content or media company
- Two-sided marketplace matching with fairness or exposure constraints in production
Required Skills
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