Senior Software Engineer, Machine Learning, Applied AI

Responsibilities

You will design, develop, test, and maintain software solutions while managing project priorities and deliverables. Additionally, you will lead design reviews, provide code feedback, and triage system issues to ensure high-quality service operations.

Requirements

Candidates must have at least 5 years of software development experience and proficiency in machine learning or AI disciplines. A bachelor's degree is required, with a master's or PhD preferred, along with experience in technical leadership and complex project environments.

Skills

• Software Development
• Data Structures
• Algorithms
• Generative AI
• Large Language Models
• TensorFlow
• Machine Learning
• Deep Learning
• Natural Language Processing
• Software Design
• System Architecture
• Distributed Computing
• Information Retrieval
• Technical Leadership
• Full-stack Development

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in one or more programming
languages, and with data structures/algorithms.
* 3 years of experience testing, maintaining, or launching software products,
and 1 year of experience with software design and architecture.
* Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision
Models).

* Experience with machine learning algorithms and tools (e.g., TensorFlow),
artificial intelligence, deep learning, natural language processing, or other
ML disciplines.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science, or related technical field.
* 3 years of experience working in a complex, matrixed organization involving
cross-functional, or cross-business projects.

* 1 year of experience in a technical leadership role.
* Experience developing accessible technologies.

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.

In this role, you will manage project priorities, deadlines, and deliverables.
You will design, develop, test, deploy, maintain, and enhance software
solutions.

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.Individual pay is determined by factors including job-related
skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Write and test product or system development code.
* Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
* Review code developed by other developers and provide feedback to ensure best
practices (e.g., style guidelines, checking code in, accuracy, testability,
and efficiency).
* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
* Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations
and quality.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA