Senior Software Engineer, Machine Learning, Google Assistant

Google Inc.; Mountain View (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

A leading tech company is seeking a Senior Software Engineer specializing in Machine Learning for Google Assistant. The role involves designing data pipelines, leveraging large language models, and mentoring junior engineers to enhance conversational capabilities. Applicants should have substantial experience in software development and expertise in AI/ML technologies. Join a team that drives innovation at scale, influencing how billions connect and interact with information globally.

Qualifications

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with ML/AI algorithms and tools.
• 1 year of experience in a technical leadership role.

Responsibilities

• Design and implement data pipelines for processing large-scale training data.
• Leverage LLMs to enhance Google Assistant’s capabilities.
• Review code and ensure best practices.

Skills

Problem Solving

Mentoring

Data Structures

Algorithms

Machine Learning

Natural Language Processing

Deep Learning

Education

Bachelor’s degree or equivalent practical experience.

Master's degree or PhD in Computer Science or a related technical field.

Tools

Tensorflow

JAX

Job description

Senior Software Engineer, Machine Learning, Google Assistant

• link Copy link

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• link Copy link
• 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 LLMs.

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 evaluation of data.
• Leverage Large Language Models (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).

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.