Jobs in the United States

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Senior Project Engineer - Phantom Works
The Boeing Company
Berkeley, MO
Boeing Defense, Space & Security (BDS) Phantom Works is seeking a Senior Project Engineer - Phantom Works to join our team in Berkeley, MO in support of a proprietary program. This role…
Added 6 mins ago
Senior Associate, Electrical Engineering- FPGA
L3Harris Technologies
Melbourne, FL · Palm Bay, FL
L3Harris Technologies, Inc. is seeking a Specialist FPGA Electrical Engineer with a desire to work in a cooperative team environment to develop and verify embedded Modem and RF…
Added 7 mins ago
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2027 Earth-Orbit Flight Dynamics Engineer
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- $100,900 to $175,400 USD / year
…spans the capability lifecycle from concept and architecture design to performance assessment to application of space and space-enabled…
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Information Systems Security Engineer
The Aerospace Corpor
Colorado Springs, CO
- $143,300 to $214,900 USD / year
Provide security engineering input to system design, architecture decisions, and testing activities
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Field Engineer
Motorola Solutions, Inc.
Denver, CO
- $40,123 USD / year
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Software Engineer
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Summer 2027 Electrical Engineer Intern- Substation
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Added 15 mins ago
Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads
Google
Mountain View, CA · Pittsburgh, PA
…including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and…
Added 19 mins ago
Observability Engineer - active Secret clearance
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Remote, United States
You will be part of a larger technical team working as an Observability Engineer in an OpsRamp environment. In this role, you will design, implement, and maintain observability solutions…
Added 19 mins ago
Observability Engineer - active Secret clearance
PGTEK
Remote, United States
You will be part of a larger technical team working as an Observability Engineer in an OpsRamp environment. In this role, you will design, implement, and maintain observability solutions…
Added 19 mins ago
Observability Engineer - active Secret clearance
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Added 19 mins ago
Observability Engineer - active Secret clearance
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Remote, United States
You will be part of a larger technical team working as an Observability Engineer in an OpsRamp environment. In this role, you will design, implement, and maintain observability solutions…
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Observability Engineer - active Secret clearance
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Google

Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

Mountain View, CA, United States
Pittsburgh, PA, United States

Apply on google.com About employer

Applications open in a new tab.

Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
Experience designing and operating distributed computing systems for large-scale AI/ML workloads.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience in Machine Learning modeling, specifically with Large Language Models (LLMs).
Experience in distributed Machine Learning system design.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology. 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.

Research emerging technology and make trade-off decisions between immediate wins and long-term stability.
Modify training and serving infrastructure to support new modeling techniques and products.
Collaborate closely with team members and partners to build systems that integrate seamlessly across the ecosystem.
Improve robustness, reliability, and usability of machine learning infrastructure.
Engage with modeling teams to explore pain points and identify novel use cases.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Pittsburgh, PA, USA.

Apply on google.com About employer

More about this job

Skills

ML
Google Ads
Software development
Machine learning
Process data
Debugging
Distributed computing
Computer science
Data storage
Natural language processing
UI design
Leadership
Research

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Jobs in the United States