Sequence Modeling

Sequence Modeling Data Jobs

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Today

Machine Learning Engineer, Search and Shopping

Google Mountain View, CA

Mountain View, CA

Today

$207k - $300k/yr Full time Ad Tech Agentic Ai Ai Agent

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Job Description

Google is hiring a Machine Learning Engineer to help power Search and Shopping Ads. The role centers on building and scaling low-latency predicted click-through rate (pCTR) models, then integrating ads into emerging AI search experiences while meeting tight compute and return-on-investment constraints.

Based in Mountain View, CA with onsite work, you will partner closely across Ads Machine Learning and research groups, including DeepMind, to design architectures and training methods that translate user signals and auction objectives into production improvements.

Role focus

Lead the technical architecture, delivery, and cross-team strategy for Search and Shopping Ads pCTR models in partnership with DeepMind, Research, and Ads Machine Learning teams.
Design, prototype, and scale high-capacity pCTR architectures that maximize Tensor Processing Unit (TPU) capabilities while operating under strict low-latency serving and return-on-investment budgets.
Develop modeling solutions that capture deep user history and nuanced attention signals, integrating ads into emerging AI Search experiences such as AI Overviews and AI Mode.
Engineer loss functions and calibration methods to convert complex business and auction objectives into measurable metric and auction improvements.
Build agentic machine learning workflows that automate and accelerate optimal model architecture and feature space discovery.

About the job

Invent novel low-latency architectures that evaluate layouts in milliseconds while maximizing TPU capabilities.
In close collaboration with DeepMind and Research, design sequence modeling to capture deep user history across modern experiences like Artificial Intelligence Overviews and Artificial Intelligence Mode.
Engineer loss functions for auction dynamics and deploy agentic AI workflows to accelerate model discovery.

Required qualifications

Bachelor’s degree or equivalent practical experience.
8 years of experience with software development, including 5 years with large-scale machine learning, deep learning, neural networks, or recommendation systems.
Experience designing and implementing large-scale production deep learning or neural network architectures under latency and computational constraints.
Experience leading cross-functional technical projects and mentoring other engineers.

Preferred qualifications

PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
Experience with agent-driven ML exploration, hyperparameter tuning, or automated model architecture search.
Experience with one or more of: loss engineering for business objectives, joint modeling across distinct prediction stacks, or hardware-aware ML optimizations (for example, leveraging dense compute/TPUs effectively).
Familiarity with ads prediction systems, auction dynamics, or serving infrastructure (such as AdBrain or Admixer).
Ability to collaborate with peer technical leads and advanced ML research organizations (such as DeepMind or Google Research) to bring academic or exploratory work into production.

Technologies

Tensor Processing Unit (TPU)
Large-scale machine learning, deep learning, neural networks
Recommendation systems
Sequence modeling
Agentic artificial intelligence workflows / agentic machine learning workflows
Loss functions, calibration methods

Compensation and benefits

US salary range: $207,000 - $300,000 (USD) per year
20% bonus target + equity + benefits
Learn more about benefits at Google.

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2mo ago

Machine Learning Engineer, Commerce Ads Ranking

TikTok San Jose, CA

San Jose, CA

2mo ago Closed

$156k - $317k/yr Full time Ad Tech Ai Ml Distributed Training

This position is no longer accepting applications (closed Aug 10, 2026).

Job Description

Based in San Jose, CA (onsite), this TikTok role seeks a Machine Learning Engineer to optimize Commerce Ads Ranking models from recall through fine sorting and to advance large-scale distributed training in privacy-preserving environments, with a salary range of USD 156,000 – 316,800 per year.

Responsibilities

Improve ads delivery model performance through feature engineering, architecture choices, automated feature crossing, addressing ad cold start, modeling delayed feedback, and applying multi-task and sequence modeling techniques.
Contribute to algorithm and system co-design, including retrieval algorithms, sample mining strategies, and long sequence handling.
Investigate and optimize large-scale distributed training frameworks, focusing on GPU tuning, feature processing, and synchronous training to boost ads delivery efficiency under privacy-preserving constraints.
Advance next generation recommendation approaches using an LLM-based learning paradigm, covering entity understanding, end-to-end generative recommendation, sequence-only recommendation, and a Mixture of Export framework.

Requirements

Strong coding skills in C++ and Python, with a solid foundation in data structures and algorithms.
Robust background in machine learning and familiarity with models such as FM, LR, GBDT, DNN, and Wide & Deep.
Excellent learning ability and collaborative mindset, with strong analytical and problem-solving skills. Publications in KDD, NeurIPS, SIGIR, or experience in data mining or ML competitions are a plus.
Bachelor's degree or higher in computer science or related fields.

Technologies

C++, Python, LLM

Benefits

Medical, dental, and vision insurance from day one
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at hire with tenure-based accruals
Eligible for discretionary bonuses or incentives
Restricted stock units

Los Angeles County (Unincorporated) Candidates

Occasional unsupervised interaction with internal or external clients and colleagues
Appropriate handling and management of confidential information and access to IT systems
Exercise sound judgment

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Sequence Modeling Data Jobs

Machine Learning Engineer, Search and Shopping

Machine Learning Engineer, Commerce Ads Ranking

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