Software Engineer III, Machine Learning

BrandFlourish Enterprise

Mountain View, CA

Full Time

Mid Level

141k-202k

10 days ago

Job Description

About the Role

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.

Key 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.

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.
2 years of experience with data structures or algorithms.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, 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).

Nice to Have

Master's degree or PhD in Computer Science or related technical fields.
Experience developing accessible technologies.

Qualifications

Educational background in Computer Science or related fields (implied by degree requirements).

Benefits & Perks

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
Additional benefits include bonus, equity, and other perks as outlined by Google.

Working at BrandFlourish Enterprise

Google’s environment emphasizes versatility, leadership qualities, enthusiasm for new problems, and continuous innovation across various technical areas including AI, system design, and user experience.

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