Software Engineer III AI/ML Threat Intelligence

Google Cloud
Málaga, Spain
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Málaga, Spain

Tech stack

Artificial Intelligence
Data Structures
Software Debugging
Distributed Systems
Design of User Interfaces
Push Technology
Information Retrieval
Python
Machine Learning
Natural Language Processing
Software Deployment
Software Engineering
Systems Architecture
Reinforcement Learning
Data Processing
Google Cloud Platform
Data Storage Technologies
Large Language Models
Model Validation
Malware
AI Platforms
Information Technology
Cybercrime
Search Engines
Machine Learning Operations

Job description

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.

Google Threat Inteligence's software engineers develop technologies to promote the exchange of information and strengthen security on the Internet. 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, machine learning, reversing, malware analysis and threat hunting. As a software engineer, you will work on projects critical to Google Threat Intelligence ecosystem needs. We need our engineers to be versatile, enthusiastic, and capable of taking technical ownership of new problems across the full-stack as we continue to push technology forward to give an edge to the good guys.

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., * Design and implement complex features for medium-to-large projects, managing priorities, deadlines, and deliverables independently.

  • Research, design, and implement AI-driven solutions leveraging large language models for various security-related use cases.
  • Architect and deploy autonomous and semi-autonomous AI agents capable of performing complex tasks, such as automated malware analysis, threat hunting, or incident response support.
  • Own the entire lifecycle of AI-powered features, from ideation and prototyping to production deployment, monitoring, and continuous improvement.
  • Provide technical guidance to junior engineers and contribute to the team's engineering standards and best practices.

Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience.

  • 2 years of experience with Vertex AI and AI Platform.
  • 2 years of experience with software development in Python or Go, 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 decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., * Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience in the cybersecurity domain, particularly with malware analysis, threat hunting, or digital risk protection.

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