Senior Staff Engineer – Applied AI

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $242 000 - $287 850 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Rula, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Rula. Vérifiée il y a 5 heures.

Logo of Rula

Rula

501 - 1000 employés

Fondée en 2019

💼 Conseil

🛡️ Assurance

🏥 Santé

💰 Series C - Rula en 2024-07

Consulting • Insurance • Healthcare

Rula est une plateforme qui met en relation les particuliers recherchant des services d'amélioration de l'habitat avec des professionnels qualifiés dans leur région. En utilisant Rula, les clients peuvent facilement trouver, comparer et engager des professionnels de confiance pour divers projets tels que la rénovation, les réparations et la maintenance. La plateforme vise à simplifier le processus d'embauche d'entrepreneurs tout en garantissant la transparence et la qualité des services fournis.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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