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Senior Software Engineer, Machine Learning, Google Assistant

Senior Software Engineer, Machine Learning, Google Assistant

2 Weeks ago • 5-8 Years • Artificial Intelligence

About the job

Summary

As a Senior Software Engineer, Machine Learning at Google Assistant, you'll leverage your AI/ML expertise to enhance NLP solutions. Responsibilities include designing and implementing data pipelines for large-scale training and evaluation data, utilizing LLMs to improve conversational capabilities, and proposing new methods for data quality improvement. You'll participate in design reviews, review code, and ensure best practices. This role requires strong experience in software development, ML/AI algorithms (deep learning, NLP), and working with large language models. You'll contribute to Google Assistant's ongoing development, directly impacting user experience.

6 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

algorithms

deep-learning

data-structures

scalability

networking

Must have:

5+ years software development experience
3+ years ML/AI experience (deep learning, NLP)
Experience with ML frameworks (TensorFlow, JAX)
Data pipeline design & implementation
LLM usage for data generation and assessment

Good to have:

Master's/PhD in CS or related field
Technical leadership experience
Experience with MLOps
Experience fine-tuning and evaluating LLMs
Experience developing accessible technologies

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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.
3 years of experience with ML/AI algorithms and tools, deep learning, or natural language processing.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
1 year of experience in a technical leadership role.
Experience with ML models, ML frameworks (e.g., Tensorflow, JAX), ML Operations and LLMs.
Experience working on Natural Language Processing projects.
Experience with finetuning and evaluating large language models.
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.

As a Senior Software Engineer, you will use your AI/ML expertise, to strengthen our efforts in providing NLP solutions to our users in Google Assistant.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

Design and implement data pipelines for processing and generation of large-scale training and eval data.
Leverag Large Language Model (LLMs) to produce high quality data in order to assess and improve Google Assistant’s conversational capabilities.
Use data driven insights to proactively propose, design and implement new methods for improving data and quality.
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).

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.