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Engineering Manager – AI/ML

🕒 Setembro 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $208.000 - $260.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Rula, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Setembro 21

Ainda aberta no site da Rula. Verificada 12 horas atrás.

Logo of Rula

Rula

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

• Enable Rula’s AI Engineering team through technical leadership across applied product capabilities and foundational ML platforms • Guide a highly AI-native group of Senior and Staff engineers • Rapidly deliver user-facing features such as transcript summarization and search relevance • Architect core AI/ML infrastructure such as feature stores and AI observability platforms • Apply strong execution speed, Radical Candor in coaching, and rigorous clinical safety judgment • Ensure AI solutions and models scale safely • Shape Rula’s AI engineering culture and drive technological synergy to transform mental healthcare delivery and experience

🎯 Requisitos

• 8+ years of professional software engineering and machine learning experience • 5+ years designing, scaling, and deploying distributed backend systems in cloud environments such as AWS and GCP • 3+ years of direct engineering management experience • Proven track record of hiring, retaining, and directly managing high-performing Senior and Staff-level engineers • 3+ years technically leading or building core ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms • 2+ years directing or developing production-grade applied AI features, specifically LLM integrations such as NLP, transcript summarization, or RAG, or search, ranking, and relevance engines • Proven operational track record managing delivery of user-facing product features and backend infrastructure platform work across multiple production release cycles • Preferred: experience shipping advanced AI systems in high-stakes, regulated environments such as HealthTech or FinTech • Preferred: hands-on experience designing production-ready LLM evaluation frameworks using automated metrics, LLM-as-a-judge, and Human-in-the-Loop processes • Preferred: practiced philosophy and experience using AI development tools such as coding agents, advanced IDE integrations, and automated testing bots • Preferred: experience prioritizing short-term product delivery against long-term platform investments, technical debt, and infrastructure scaling

🏖️ Benefícios

• 100% remote work environment • Working hours to support a healthy work-life balance • Transparent pay ranges regardless of location in the United States • 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 self-care 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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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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