ИзраильSenior Applied AI Engineer
4 нед. назад
ИзраильSeniorHybrid
machine learningdata analysisai agents
Senior Applied AI Engineer responsible for turning AI research into production-ready products and leading AI capabilities development in a fast-moving startup environment.
О компании
- is the leading enterprise AI visibility platform, built to help the world’s leading brands understand, manage, and optimize how they appear across AI-driven search, commerce, and advertising.
- As AI rapidly becomes a trillion-dollar marketing and distribution channel, is defining the systems that decide how brands are surfaced, trusted, and chosen.
- Join our team and help build the next generation of tools shaping the future of brand management in an AI-first world.
Обязанности
- We’re looking for a Senior Applied AI Engineer who combines deep data science expertise with the engineering skills to turn research into reliable, production-ready products.
- You’ll be a hands-on technical leader, owning significant AI capabilities from problem definition, academic survey, and system design through research, experimentation, deployment, and continuous improvement. Your work will span classical machine learning, large-scale data analysis, and AI agents that power brand intelligence, market research, and performance marketing.
- You should have a track record of driving complex projects, not just contributing to them, and be comfortable making technical decisions, navigating ambiguity, and delivering in a fast-moving startup environment. You’ll build systems that Fortune 500 marketing teams rely on to make consequential business decisions.
- Own AI capabilities end to end. Translate business and product needs into well-defined problems, research plans, and technical designs. Take solutions from initial exploration through production deployment and ongoing improvement.
- Develop and improve our core algorithms.
- Build production-grade AI agents - performance marketing, market research agents, auto-ML agents.
- Turn research into maintainable software. Build reusable modules, data pipelines, and services with clear interfaces, automated tests, and robust deployment practices—not just standalone prototypes.
- Own quality and performance in production. Monitor system behavior, investigate failure cases, and continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow.
- Drive technical decisions and execution. Choose the right approach for each problem, balancing statistical methods, classical ML, and LLM-based systems. Make explicit trade-offs between research depth, delivery speed, and operational complexity.
- Provide hands-on technical leadership. Partner with product and engineering to shape priorities, lead technical initiatives, review designs and code, and mentor teammates.
Требования
- MSc or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or applied machine learning , plus 2+ years in ML engineering or software engineering , with direct responsibility for deploying and maintaining production systems.
- Proven ownership of significant AI products or features. You have been a primary technical driver, taking ambiguous problems from initial concept to a working product used by real customers.
- Strong foundations in machine learning and statistics , including experimental design, model evaluation, and practical experience with NLP, embeddings, clustering, or related methods for analyzing unstructured data.
- Strong Python, SQL and Typescript skills , alongside solid software engineering practices: modular architecture, automated testing, version control, code reviews, and maintainable production code.
- Hands-on experience building LLM-powered applications or AI agents beyond the prototype stage , including tool calling, structured outputs, context management, and systematic evaluation.
- Experience deploying and operating systems in a cloud environment , including containerization, CI/CD pipelines, logging, monitoring, and debugging production issues.
- Strong product judgment and independent execution. You can define milestones, prioritize experiments, communicate technical trade-offs, and collaborate effectively across product, engineering, and business teams in a fast-moving environment.
Условия
- At , you’ll build and shape a new category at the intersection of AI, marketing, and commerce.
- We’re a fast-growing startup led by repeat entrepreneurs, world-class engineers, and marketing leaders, all driven to reinvent how brands are built, discovered, and chosen in the age of AI.
Другое
- Experience as a core technical contributor at a high-growth startup, building new products and scaling them as adoption grows.
- Experience in advertising technology, marketing analytics, search, information retrieval, ranking, or recommendation systems.
- Familiarity with agent frameworks and SDKs such as ADK, LangChain, or comparable tooling.
- Experience building systems where traceability, explainability, approval workflows, and reliable execution are important to customer trust.