Senior Staff Engineer – Applied AI

🕒 Setembro 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $242.000 - $287.850 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Rula

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2019

💼 Consultoria

🛡️ Seguros

🏥 Saúde

💰 Series C - Rula em 2024-07

Consulting • Insurance • Healthcare

Rula é uma plataforma que conecta indivíduos em busca de serviços de melhoria doméstica com profissionais habilidosos em sua área. Ao usar o Rula, os clientes podem facilmente encontrar, comparar e contratar profissionais de confiança para diversos projetos, como reforma, reparos e manutenção. A plataforma visa simplificar o processo de contratação de empreiteiros e garantir transparência e qualidade nos serviços prestados.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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