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Senior ML Software Engineer, Search, Discover, Ads

Senior ML Software Engineer, Search, Discover, Ads

1 Month ago • 5-8 Years • Artificial Intelligence

About the job

8 skills required for this role

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

tensorflow

algorithms

automl

deep-learning

data-structures

python

model-deployment

networking

Job Description

This Senior ML Software Engineer role focuses on building personalized modeling, ranking, and LLM platforms for Google Discover and Ads. Responsibilities include researching and developing state-of-the-art models to enhance feed ranking, leveraging ML and information retrieval techniques, developing LLM-enhanced recommendations, optimizing TPU training and serving efficiency, and advancing Discover's core feed ranking modeling and ML infrastructure. The ideal candidate will have extensive experience in building and deploying recommendation systems, working with ML infrastructure, and possessing strong programming skills in Python. Experience with LLMs, NLP, and recommender systems is highly preferred.

Must have:

5+ years software development experience in Python
3+ years building & deploying recommendation systems
3+ years experience with ML infrastructure
Experience with data structures and algorithms
Develop state-of-the-art ranking models

Good to have:

Master's or PhD in CS or related field
Experience with Jax, TensorFlow, deep learning
Experience with LLMs, NLP, personalization
Technical leadership experience
Experience with Gemini integration

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in Python programming language, 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 building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
3 years of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging etc).

Preferred qualifications:

Master's degree or PhD in Computer Science, or in a related technical field.
2 years of experience with Machine Learning algorithms and tools (e.g., Jax, TensorFlow, deep learning, natural language processing, etc).
1 year of experience in a technical leadership role.
Experiences with recommender systems, Large Language Model (LLM), personalization, Natural Language Processing (NLP), and retrieval.

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 build the key personalized modeling, ranking, re-ranking and Large Language Model (LLM) platforms for Discover.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Research and develop state-of-the-art models and strategy to increase overall feed ranking experience.
Combine your understanding of product objectives and take advantage of modern Machine Learning (ML) and information retrieval techniques to improve feed ranking quality.
Develop Large Language Model (LLM) enhanced Recommendations, integrate Gemini with recommendations, etc.
Train on realtime for Tensor Processing Unit (TPU) Training, and Serving efficiency.
Advance Discover core feed ranking modeling and ML infrastructure through: Multimodal and cross-domain learning, user behavior sequence modeling, ML-based ranking function modeling, AutoML - Neural Architecture Search and generative recommendation models.

View Full Job Description

$161.0K - $239.0K/yr (Outscal est.)

$200.0K/yr avg.

Worldwide

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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.