- Professional
- Escritório em London
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms.
- Experience with machine learning, natural language processing (NLP), or Generative AI and large language models (LLMs).
- Experience with building data processing pipelines with tools like Kafka, Apache Beam (e.g., Dataflow) or Spark.
- Experience with Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub).
- Experience with time-series data and financial market data feeds.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The team is creating a platform that functions as an intelligent co-pilot for investors, analysts, and portfolio managers, enabling them to move from questions to informed action in minutes.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Design, develop, and deploy core components of the financial AI platform, including the orchestration engine, investigative tools, and data processing pipelines.
- Build microservices for financial workflows, such as historical backtesting, Monte Carlo simulations, and advanced risk calculations (e.g., Value at Risk (VaR), Sharpe Ratio).
- Collaborate with Google's research teams to integrate and optimize forecasting and time-series analysis models for financial use cases.
- Develop an intelligent orchestration layer using Google's latest models to interpret natural language queries and chain together the sequence of financial tools and data sources.
- Engineer data pipelines for ingesting and transforming data, including real-time market feeds, alternative data (e.g., news sentiment), and client's datasets.
