Sequence Modeling

Sequence Modeling Developer Jobs

3 jobs found

3d ago

Machine Learning Engineer Graduate (E-Commerce User Growth)

TikTok Seattle, WA

Seattle, WA

3d ago

$122k - $243k/yr Full time Marketing Big Data Data Pipeline

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Job Description

Join TikTok in Seattle for a 2027 start graduate role focused on machine learning for e-Commerce user growth and marketing.

Responsibilities

Optimize TikTok e-Commerce growth and marketing algorithms, including user value modelling, personalized messaging, recommendations, and intelligent marketing.
Build a user lifecycle data and value system to address TikTok Mall user growth pain points and business challenges.
Implement product and technical solutions for user growth engines, including personalized push notifications and emails, recommendation handling, and related components to increase e-Commerce DAU and penetration rates.
Improve recommendation quality for new users by optimizing recall and sorting, including traffic source handling relevance and the accuracy and diversity of new user recommendations.
Advance intelligent marketing algorithms using uplift models and operations research methods to improve marketing efficiency and drive e-Commerce GMV growth.

Requirements

Currently completing or recently completed a Bachelor’s degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
Experience with C++ and Python; at least one Big Data tool such as Hive SQL, Spark, or MapReduce.
At least one Deep Learning tool such as TensorFlow or PyTorch.
Strong foundation in algorithms and data structures with excellent coding skills.
Strong learning ability, curiosity, and good communication and teamwork skills.
Also requires/considers individuals completing or recently completing a Master’s degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
Published papers in top AI conferences or journals, or notable results in ACM/Machine Learning competitions.
Experience in recommendation systems, advertising, user growth, intelligent marketing, or related areas is a plus, including expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization.

Technologies

C++, Python
Hive SQL, Spark, MapReduce
TensorFlow, PyTorch
Uplift models, operations research methods
LTV estimation, sequence modelling, multi-scenario modelling optimization

Benefits

Day one access to medical, dental, and vision insurance
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 upon hire with increasing accruals by tenure)
Additional discretionary bonuses/incentives and restricted stock units (role may be eligible)

Team Introduction

The TikTok e-Commerce Recommendation and Marketing Algorithm team delivers algorithm and big data work for e-Commerce innovation projects.
Focus on helping users discover and acquire great products to enrich their lives.
Uses recommendation and search algorithms for item discovery, plus risk control algorithms and intelligent platform governance to detect violations and support a secure shopping experience.
Builds intelligent customer service technologies and large-scale product knowledge graphs to improve transaction process efficiency.
Develops logistics and operations research algorithms to enhance supply chain efficiency and applies AI to help merchants improve operational capabilities.
Mission: make high-quality products easily accessible, enabling everyone to enjoy a better life.

Additional Information

Successful candidates must be able to commit to an onboarding date by the end of the year.
Please include availability and graduation date clearly in your resume.
Applicants can apply to a maximum of two positions and will be considered in the order applied.
Applications are reviewed on a rolling basis; applying early is encouraged.

Pay Transparency

Base salary range (selected city): $121,600 - $243,200 annually.
Compensation may vary based on qualifications, skills, competencies, experience, and location.
Base pay is part of the Total Package.

Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
The company notes criminal history may have a direct, adverse, negative relationship on job duties, potentially leading to withdrawal of a conditional offer.
Areas cited include interacting with clients or colleagues (occasionally unsupervised), managing confidential/proprietary information, and exercising sound judgment.

TikTok Accommodation

TikTok provides reasonable accommodations in recruitment for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons.
Request assistance at: https://tinyurl.com/RA-request

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25d ago

Machine Learning Engineer, Search and Shopping

Google Mountain View, CA

Mountain View, CA

25d ago

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

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Job Description

Build low-latency machine learning for Search and Shopping Ads at Google from Mountain View, CA (onsite). This role focuses on creating and scaling predicted click-through rate (pCTR) models that are designed to run within tight serving and return-on-investment budgets, while integrating ads into emerging AI-driven search experiences. You will work closely with DeepMind, Research, and Ads Machine Learning teams to translate modeling advances into production systems.

What you’ll do

Own technical architecture and cross-team strategy for Search and Shopping Ads pCTR modeling, partnering closely with DeepMind, Research, and Ads Machine Learning.
Design, prototype, and scale high-capacity pCTR architectures that maximize modern Tensor Processing Unit (TPU) performance while meeting strict low-latency serving and ROI constraints.
Develop modeling approaches 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 that connect complex business objectives to measurable top-line and auction improvements.
Build agentic machine learning workflows to automate and accelerate model architecture and feature space discovery.

What you bring

Bachelor’s degree or equivalent practical experience.
8 years of experience with software development, including 5 years in 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.

Helpful experience

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

Tech you’ll work with

Tensor Processing Unit (TPU), large-scale machine learning, deep learning, neural networks, and recommendation systems
Sequence modeling and agentic artificial intelligence workflows
Agentic machine learning workflows, loss functions, and calibration methods

Compensation and benefits

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

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3mo ago

Machine Learning Engineer, Commerce Ads Ranking

TikTok San Jose, CA

San Jose, CA

3mo 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

TikTok seeks a Machine Learning Engineer for Commerce Ads Ranking in San Jose, CA on-site, with a yearly salary range of USD 156,000 - 316,800.

Responsibilities

Enhance ads delivery models across recall to ranking, covering feature engineering, model architecture, automated feature crossing, cold-start handling, delayed feedback modeling, multi-task learning, and sequence modeling
Co design algorithms and system components for retrieval, sample mining, and processing of long sequences
Investigate and build scalable distributed training pipelines, including GPU tuning, feature processing, and synchronous training, with privacy-preserving considerations to boost delivery efficiency
Develop next generation recommendation systems within an LLM driven framework, including entity understanding, end-to end Generative Recommendation, sequence only recommendations, and Mixture of Export

Requirements

Strong coding skills in C++ and Python, with solid data structures and algorithms fundamentals
Solid foundation in machine learning and familiarity with common models such as FM, LR, GBDT, DNN, and Wide & Deep
Excellent learning agility, collaborative mindset, and strong analytical and problem solving abilities; publications in KDD, NeurIPS, SIGIR, or related ML/data mining competitions are a plus
Bachelor’s degree or higher in computer science or a related field

Technologies

C++, Python
LLM

Benefits

Medical, dental, and vision insurance from day one
401(k) plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance and 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 Candidates

Interacting with internal or external clients and colleagues, occasionally with unsupervised contact
Managing confidential information including proprietary data and access to IT systems
Exercising sound judgment in decision making

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Sequence Modeling Developer Jobs

Machine Learning Engineer Graduate (E-Commerce User Growth)

Machine Learning Engineer, Search and Shopping

Machine Learning Engineer, Commerce Ads Ranking

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