Senior Staff Engineer – Applied AI

🕒 vor 7 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $242.000 - $287.850 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 0%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Rula

501 - 1000 Mitarbeiter

Gegründet 2019

💼 Beratung

🛡️ Versicherung

🏥 Gesundheitswesen

💰 Series C - Rula im 2024-07

Consulting • Insurance • Healthcare

Rula ist eine Plattform, die Personen, die nach Dienstleistungen zur Wohnungsverbesserung suchen, mit qualifizierten Fachleuten in ihrer Umgebung verbindet. Über Rula können Kunden problemlos vertrauenswürdige Fachkräfte für verschiedene Projekte wie Renovierungen, Reparaturen und Wartungen finden, vergleichen und beauftragen. Die Plattform zielt darauf ab, den Prozess der Beauftragung von Auftragnehmern zu vereinfachen und sorgt für Transparenz und Qualität der angebotenen Dienstleistungen.

Beschreibung

• Build and scale AI/ML-powered patient experiences for matching, ranking, recommendations, onboarding, and personalization • Develop and improve production models and AI-powered systems • Build critical reusable capabilities for Patient Engineering • Partner with Rula’s ML team on shared infrastructure, models, standards, and architectural decisions • Identify and solve high-leverage Applied AI problems across models, reusable capabilities, and existing systems • Determine whether problems are best addressed with custom ML, foundation models/AI services, deterministic software, or hybrid approaches • Enable Patient Engineering to deliver better intelligent experiences • Create a strong technical partnership with the ML team • Improve models, reusable capabilities, and the speed and quality of AI/ML-powered patient experience delivery

🎯 Anforderungen

• 10+ years of software and/or ML engineering experience • Significant experience designing, building, deploying, and operating production ML systems with measurable product or business impact • Strong Python experience • Experience building scalable systems and writing and reviewing production-quality code • Deep hands-on ML expertise across problem formulation, data/feature engineering, model development and training, evaluation, experimentation, deployment, monitoring, and continuous improvement • Technical leadership across teams, including setting technical direction, influencing architecture, mentoring senior engineers, and exercising judgment on ML and AI approaches • Demonstrated 0→1 experience building shared ML infrastructure or reusable capabilities adopted across teams • Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems • Rigorous evaluation connecting offline model performance to online experiments and product/business outcomes • Hands-on experience building and operating modern foundation model/GenAI systems in production • Experience with evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs for GenAI systems • Preferred: experience evolving organizations toward mature ML engineering practices • Preferred: experience operating ML systems in healthcare, financial services, or another regulated/high-trust environment

🏖️ Vorteile

• 100% remote work environment • Working hours to support a healthy work-life balance • Attractive pay and benefits with transparent U.S. pay ranges • Medical, dental, vision, life, disability, and FSA/HSA benefits • 401(k) plan access • Generous time-off policies, including 2 company-wide shutdown weeks each year for most employees • Paid parental leave for birthing, non-birthing, adopting, and fostering parents • Employee Assistance Program (EAP) • Quarterly department stipend for team-building activities or in-person gatherings • Community and employee resource groups • New hire home office stipend • $50 monthly internet or cell phone stipend • Year-round wellness initiatives • $50/month wellness stipend • Equity

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