Software Engineer III, Financial AI, Google Cloud

Requirements:

• 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).

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and Benefits:

• Information collected and processed as part of your Google Careers profile and any job applications is subject to Google's Applicant and Candidate Privacy Policy.
• Equal opportunity and affirmative action employer commitment.
• Opportunities to switch teams and projects as the business evolves.
• English proficiency requirement for all roles unless stated otherwise in the job posting.
• Global company culture with efficient collaboration and communication.