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Senior Staff Engineer (Multiple Openings)
Samsung Austin Semiconductor, LLC.
San Jose, CA
Design and architect high-performance C++ models for various GPU blocks.
Added just now
Senior Engineer (Multiple Openings)
Samsung Austin Semiconductor, LLC.
San Diego, CA
Design and architect C++ models of GPU blocks.
Added 3 mins ago
Senior Research Engineer, GenMedia Safety, DeepMind
DeepMind
Mountain View, CA · New York, NY · San Francisco, CA
Design and maintain protocols to identify and bridge gaps in model safety.
Added 7 mins ago
Senior Engineer - Database Infrastructure
Hard Rock Digital
Remote, United States
We're hiring Senior Database Infrastructure Engineers to own the PostgreSQL, MySQL, and ClickHouse databases behind our platform and work alongside the team that runs our CockroachDB…
Added 13 mins ago
Senior Cloud Software Engineer
Modern Technology Solutions Inc
Dayton, OH · Dayton
Design enterprise CI/CD pipelines with automated testing, secure packaging, artifact governance, and multi‑enclave deployments.
Added 13 mins ago
Junior Cloud/Software Engineer
Modern Technology Solutions Inc
Dayton, OH · Dayton
Assist with documenting design updates, architecture changes, endpoints, dependencies, and versioning for catalog services as required by CDRLs.
Added 28 mins ago
O
Principal Platform Software Engineer
Oracle
Nashville, TN
- $104,500 to $234,600 USD / year
We are looking for a Senior Software Developer (IC3) who enjoys building reliable software systems and solving challenging engineering problems. This role is ideal for engineers with strong…
Added 28 mins ago
Senior Site Reliability Engineer
DynatraceLLC
Detroit
Implement Monitoring & Alerting: Design and deploy automated monitoring and alerting systems to boost the efficiency, reliability, and scalability of cloud infrastructure.
Added 28 mins ago
Lead .NET Developer
EPAM Systems
Fort Mill, SC
Provide senior leadership to junior software developers through design guidance, implementation support, and code reviews
Added 35 mins ago
Senior Partner Solutions Engineer, gTech Ads Sellside, Global Exchange Platforms
Google
New York, NY
…technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's…
Added 36 mins ago
Engineering Leader, Google COE
Fractal Analytics Inc
CA
Lead architecture and design for data, analytics, AI/ML, and platform engineering initiatives.
Added 37 mins ago
Senior Manager, Partner Product Enablement & Advocacy
ServiceNow
Mountain View, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 37 mins ago
Senior RF Systems & Business Development Engineer
Matrix Research, Inc.
Beavercreek, OH
Matrix Research is currently seeking an experienced Senior RF Systems and Business Development Engineer to lead technical hardware design and drive strategic growth for our growing business…
Added 37 mins ago
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Senior Software Engineer – AI Infrastructure
Kraken
Remote, United States
- $127,200 to $254,400 USD / year
- Design and build the infrastructure layer powering AI agent systems in production
Added 40 mins ago
Lead Project Engineer Controls Systems - Americas
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…health, safety, security, and improved quality of life. The Senior Project Engineer – Control Systems serves as the primary engineering point of contact for assigned projects, working…
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Senior Automated Test Engineer
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Leidos is seeking a Senior Test Automation Engineer to help deliver mission-essential software capabilities that enable intelligence professionals to access critical information, analyze…
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Principal Software Engineer, Developer Platforms
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…Systems Group (DSG) provides analysis-based decision support to senior leaders on space architectures, policy and strategy, technology development, warfighter capability enablers, systems…
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Google

Software Engineering Tech Lead Manager, Search Intelligence, Discover User Understanding

Mountain View, CA, United States

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Job details

Posting language: English

Original job description

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, including 5 years in machine learning, recommendation, personalization, ads or search quality.
2 years of experience in a people management or team leadership role.
Experience training, evaluating, or launching models for recommender systems.
Experience with applied machine learning for recommendation, retrieval, or search platforms.

Preferred qualifications:

Experience re-architecting production ML systems while maintaining downstream compatibility and stability.
Management experience, leading a team of 5 or more engineers.
Knowledge of modern recommender-system and ML techniques (e.g., user modeling, embedding-based and two-tower retrieval, sequence models and Transformers, distillation, multi-task and multi-objective learning, and applying LLMs to recommendation).
A track record of leading ML projects from design to launch that require coordinating multiple teams.
Excellent written and verbal communication, and the ability to align stakeholders with different priorities.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Discover User Modeling and Retrieval builds Google's foundational knowledge of what people care about, and uses it to power Discover. These models drive hundreds of billions of recommendations a day in Discover, are critical personalization signals in downstream ranking, and feed personalization across Google, including Search Suggest, News, Search notifications and Shopping.

You will lead the team that owns Discover's interpretable, token-based user models, including Long-Term Interest and Creator models. These are the models that build the billions of interest profiles above, and the ones other Google products rely on.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Manage and grow a team of engineers, mixing senior technical leads and early-career engineers, while developing each engineer's career and building a high-velocity team culture.
Partner closely with DeepMind and Infra teams, and own our models end-to-end, from research ideas to production launches, at a scale few places can offer.
Set and own the multi-quarter technical strategy and roadmap for token-based user modeling with the team's tech leads, product management, and partner teams.
Drive the rebuild of interest-vocabulary redesign, unification of the token models, and the next-generation model architecture by making sound technical trade-offs and running thorough design reviews.
Raise the bar on experimentation and evaluation by investing in offline evaluation that predicts online results (including LLM-based autoraters), faster iteration loops, and disciplined live-experiment and launch practices.

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