Applied AI and ML Engineer
Google · Posted Nov 8
Search engine, cloud computing, software, hardware, and artificial intelligence services
Get a personal compatibility score
Add a resume for personal matches
About the role
Google's Finance Data and AI (DnA) team in the CFO organization builds secure, scalable, and intelligent solutions to transform financial operations. The team focuses on AI/ML and agentic systems for Finance processes such as Accounting, Finance Operations, and financial planning and analysis. This role leads technical strategy, design, and deployment of end-to-end AI/ML and multi-agent solutions, including production endpoints, evaluation frameworks, and guardrails.
What you will do
- Contribute to the technical design of multi-agent workflows, utilizing a toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems.
- Build, prototype, and scale end-to-end AI agents. Collaborate with senior developers to build robust system architectures that prioritize reliability, usability, and auditability—ensuring clear human-in-the-loop interfaces for finance professionals.
- Take prototypes from isolated testing environments to scaled production systems. Collaborate with senior developers to design and deploy high-availability model endpoints with robust health checks, error handling, retries, and fallback mechanisms.
- Implement rigorous evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.
Skills used in this role
What the employer is looking for
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree in a quantitative discipline (e.g., Statistics, Engineering, Sciences).
- 1 year of experience building agentic systems.
Preferred qualifications
- 4 years of experience using analytics to solve product problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience working in a financial, audit, or highly regulated domain where deterministic accuracy and auditability are paramount.
- Demonstrated expertise in developing and deploying AI or ML models and utilizing modern observability/monitoring tools to track performance, latency, model drift.
- Excellent communication skills, with a proven ability to translate complex technical architectures and probabilistic model behaviors.
- Strong command of classical ML modeling (e.g., time-series forecasting, tree-based models) alongside modern LLM/Generative AI tooling.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
Recent coverage
India Today
Google offers voluntary exits to employees in 5 countries as AI spending rises2026-11-05
CNN
Google is rolling out new controls for schools to limit students' access to the company's AI tools2026-11-03
Google Blog
October 2026 updates represent significant advancements in model capabilities, development tools, and hardware infrastructure2026-11-02
TechRepublic
Google's Biggest Announcements of 2026: Gemini, Android 17, and More2026-08-03