
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.
🕒 Abril 1
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

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.
• We’re hiring a Staff AI Engineer to lead some of Rula’s most important applied AI investments as we scale. • You’ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. • This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. • It’s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula.
• 8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment) • 5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go) • Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.) • Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. • Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). • Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement. • Strong and effective communication skills. • Bachelor’s degree or above in Machine Learning, or related field.
• 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) • Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States • Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA • 401(k) plan access: Start saving for your future • Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) • Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering • Employee Assistance Program (EAP): Support for your mental and physical health • New hire home office stipend: Set up your workspace for success • Quarterly department stipend: Fund team-building activities or in-person gatherings • Wellness events and lunch & learns: Explore a variety of engaging topics • Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
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