Descri\u00e7\u00e3o completa do trabalho
Machine Learning Engineer, AI Decisioning (Full-time)
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Location:\u00a0Remote (North America) \/ San Francisco (Optional)<\/p>\n
Salary Range:\u00a0$200,000 – $260,000 USD<\/p>\n
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We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced\u00a0Machine Learning Engineer\u00a0to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about\u00a0which customers to message, what content to use, and when to send messages.<\/p>\n
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A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.<\/p>\n
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Your responsibilities will include working on complex problems such as:<\/p>\n
Personalization and Product Recommendation:\u00a0Designing and implementing models to personalize messages and content (including product catalogs) to ensure the most relevant content is delivered to each individual user.
Automated Experimentation:\u00a0Developing intelligent systems to help customers efficiently navigate and automate A\/B testing and experimentation across a vast number of messaging options.
Predictive Audiences:\u00a0Building robust models to predict customer actions, such as conversion, churn, or other desired behaviors, to create targeted audiences.
Content Generation:\u00a0Leveraging recent advancements in Large Language Models (LLMs) to help marketers generate compelling text, images, and creative assets.
Budget Optimization:\u00a0Creating analytical tools and models to assess which marketing spend drives the most incremental conversions and identifies where the marginal Customer Acquisition Cost (CAC) is lowest.
Requisitos<\/p>\n
Experience:\u00a05 – 15 years of professional experience in machine learning and software development.
Domain Expertise:\u00a0Deep understanding and practical experience building and deploying machine learning models, particularly in areas like personalization, recommendation systems, time-series analysis, or optimization.
Technical Skills:\u00a0Strong software engineering fundamentals and experience working with large-scale data warehouses\/databases.
Communication:\u00a0Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Mindset:\u00a0A strong first-principles thinking approach to problem-solving, a growth mindset, and a motivated, persistent approach to achieving goals.
Benef\u00edcios<\/p>\n
Competitive Compensation:\u00a0Highly competitive salary in the range of\u00a0$200K – $260K USD.
Equity:\u00a0Competitive equity package in a high-growth company with a recent $1.2B valuation, backed by leading investors.
Visa Sponsorship:\u00a0Visa sponsorship is available\u00a0for qualified candidates.
Work Flexibility:\u00a0Full-time, remote position supporting work across\u00a0North America.
Impact:\u00a0The opportunity to make a meaningful impact by defining the future of AI-powered customer data activation.
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Devido ao grande volume de inscri\u00e7\u00f5es que prevemos, lamentamos n\u00e3o poder fornecer feedback individual a todos os candidatos. Se voc\u00ea n\u00e3o receber uma resposta nossa dentro de quatro semanas ap\u00f3s a sua inscri\u00e7\u00e3o, presuma que voc\u00ea n\u00e3o foi aprovado nessa ocasi\u00e3o. Agradecemos sinceramente seu interesse e desejamos o melhor em sua busca de emprego.<\/p>\n
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Compromisso com a igualdade e a acessibilidade:<\/p>\n
Na MLabs, temos o compromisso de oferecer oportunidades iguais a todos os candidatos. Garantimos a n\u00e3o discrimina\u00e7\u00e3o, an\u00fancios de emprego acess\u00edveis e o fornecimento de informa\u00e7\u00f5es em formatos acess\u00edveis. Nosso objetivo \u00e9 promover um local de trabalho diversificado e inclusivo, com oportunidades iguais para todos. Se precisar de algum ajuste razo\u00e1vel durante qualquer parte do processo de contrata\u00e7\u00e3o ou se quiser ver o an\u00fancio de emprego em um formato acess\u00edvel, informe-nos o mais r\u00e1pido poss\u00edvel enviando um e-mail para human-resources@mlabs.city.<\/p>\n
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A MLabs Ltd coleta e processa as informa\u00e7\u00f5es pessoais fornecidas pelo candidato, tais como detalhes de contato, hist\u00f3rico de trabalho, curr\u00edculo e outros dados relevantes, apenas para fins de recrutamento. Essas informa\u00e7\u00f5es s\u00e3o gerenciadas de forma segura, de acordo com a Pol\u00edtica de Privacidade e a Pol\u00edtica de Seguran\u00e7a da Informa\u00e7\u00e3o da MLabs Ltd. e em conformidade com as leis de prote\u00e7\u00e3o de dados aplic\u00e1veis. Seus dados podem ser compartilhados apenas com clientes e parceiros confi\u00e1veis, quando necess\u00e1rio para fins de recrutamento. Voc\u00ea pode solicitar a exclus\u00e3o de seus dados ou retirar seu consentimento a qualquer momento entrando em contato com legal@mlabs.city.
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