Resumo da vaga

Senior Staff Machine Learning Engineer, Ads Quality

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Develop & design innovative AI-powered systems addressing a wide range of Ads Quality challenges, such as: Optimize ads pacing/bidding, retrieval and auction processes toward a diverse set of advertiser goals, balancing short- and long-term objectives,
  • Balance between user, advertiser, and retailer needs, and turn such solutions into quantifiable, optimizable formulations,
  • Identify and build gen AI solutions to revolutionize all aspects of the quality stack,
  • Build advanced generative AI and recommendation frameworks revolutionizing advertiser experience and campaign efficacy,
  • Construct systems and frameworks to provide intelligent recommendations and assistance to advertisers,
  • Collaborate with Data Scientists to establish metrics and methodologies for both tracking, optimization, and goaling purposes.
  • Define & own the Ads Quality technical strategy and roadmap, balancing between both short-term needs and long-term sustainability.
  • Demonstrates ability to architect and design complex AI / quality components, considering scalability, reliability, performance, and security.
  • Serves as a technical leader and mentor, guiding and empowering junior ML and software engineers through code and design reviews, knowledge sharing, collaborative problem-solving, improving key engineering processes, and fostering a thriving engineering culture.
  • Serve as a technical mentor, empowering engineers at all career levels through effective coaching, collaborative code reviews and knowledge sharing to develop the next set of leaders
  • Builds and maintains synergies with other ML engineering teams across Instacart; acts as a bridge representing Ads as an influential voice in company-wide technical forums.
  • Contributes to company-level technical initiatives as a thought leader and key driver of Instacart’s engineering vision & goals
  • Note this is a hands-on IC / TL role at the Director+ level. There are no people management expectations.
  • PhD in AI / ML or related field, or equivalent academic and research experience.
  • 10+ years of experience as a software and / or ML engineer.
  • Proven track record of architecting & building production-grade ML systems, AI and quantitative optimization technologies at a global scale.
  • Demonstrated ability to lead technical discussions and collaborate effectively at senior to executive levels, driving consensus and clarity.
  • Experience mentoring and developing engineering culture and talent.
  • Hands-on expertise in building large-scale AI/ML systems bridging generative AI, predictive modeling, and recommendation engines to solve real-world problems.
  • Deep understanding of Ads Quality systems, including pacing/bidding, yield optimization, retrieval processes, and auction dynamics.
  • Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.
Vagas similares

Mantenha uma lista reserva.

Ver stack
FocoMachine LearningÁrea da vaga
Sinal de senioridadeLeadNível do candidato
StackAWS, Golang, SnowflakeSkills principais
Localização1 país aceitoElegibilidade

Stack

Use estas tags para comparar vagas remotas similares.

Elegibilidade de localização

Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.

Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.

Fluxo de contratação

O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.

1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.
Aplicar no site da empresaSite da empresaAbrir link