Jobs in the United States

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Added 3 mins ago
AI Scientist (Model Building & Training)
Lilly
South San Francisco, CA
Making medicine that’s never been made means doing what’s never been done. If you’re an engineer, scientist, or builder who thrives on problems no one has solved before, this is your…
Added 3 mins ago
Operations AI Engineer - Early Career
Lockheed Martin
Palmdale, CA
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent…
Added 3 mins ago
Software Engineer, Machine Learning - Ads Infra and Ranking
Meta
Menlo Park, CA
Software Engineer, Machine Learning - Ads Infra and Ranking Responsibilities:
Added 3 mins ago
Staff Software Engineer, ML Compiler Performance Engineer Co-Design
Google
Mountain View, CA
Share Staff Software Engineer, ML Compiler Performance Engineer Co-Design
Added 3 mins ago
Agentic Data Cloud Customer Engineer II, Google Cloud
Google
Sunnyvale, CA
6 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
Added 3 mins ago
Senior RTL Design Engineer, TPU
Google
Sunnyvale, CA
…on TPU architecture and its integration within AI/ML-driven…
Added 3 mins ago
Software Engineer, Machine Learning
Meta
Sunnyvale, CA
Meta is seeking a distinguished Software Engineer with deep machine learning expertise to drive transformative advances across Meta's AI-powered products and platforms. In this role, you…
Added 3 mins ago
Research Scientist Intern, ML Innovation for Products (PhD)
Meta
Sunnyvale, CA · Menlo Park, CA
…that powers retrieval, ranking, and auction across Meta's ads systems. This is a very unique team that functions like an applied research lab with a production deploy button: we imagine,…
Added 3 mins ago
Software Engineer, Infrastructure - Ads Infra and Ranking
Meta
Sunnyvale, CA
Software Engineer, Infrastructure - Ads Infra and Ranking Responsibilities:
Added 4 mins ago
Software Development Engineer
Zoom
San Jose, CA
…Engineering team is central to that mission. As a Machine Learning Engineer, you will develop and enhance AI/ML algorithms and solutions that protect millions of users across the Zoom…
Added 4 mins ago
AI Deployment Strategist
Zoom
Santa Barbara, CA · Sacramento, CA · San Jose, CA
…efficiently. We develop the metrics, intelligence, and evaluation systems that drive continuous improvement, drawing on advanced LLMs and applied data science. Our work sits at the core of…
Added 4 mins ago
Sr Principal Network Engineer
Northrop Grumman
San Diego, CA
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 5 mins ago
Engineer Logistics 4 - 28935
HII
San Diego, CA
…fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of…
Added 5 mins ago
EG
Autonomy Capabilities Engineer
Eliassen Group
San Diego, CA
- $70 to $120 USD / hour
Our client seeks an autonomy capabilities engineer to design and integrate tactical autonomy for unmanned systems across air, land, and sea domains. The role spans control laws, motion…
Added 17 mins ago
CI
Sr. Staff Software Engineer, Cribl AI
Cribl, Inc
Denver, CO
- $250,000 to $300,000 USD / year
Join Cribl's AI Systems team and help build the foundational infrastructure powering Generative and Agentic AI capabilities across Cribl's product suite.
Added 55 mins ago
MT
Senior Design Verification Engineer
Micron Technology, Inc.
Minneapolis, MN
- $122,000 to $208,000 USD / year
Experience with DRAM/NAND/SSD protocol, controllers, and systems
Added 56 mins ago
SR/STAFF ENGINEER, FECOS CPIE YE
Micron Technology, Inc.
Boise, ID
As a Yield Enhancement Engineer, you will drive strategic yield improvement initiatives across Micron's advanced memory portfolio, including DRAM, NAND, and HBM technologies. You will…
Added 1 hour ago
Staff Software Engineer, Mobile and On-Device Agentic AI, XR
Google
San Jose, CA · San Francisco, CA
Demonstrated technical leadership setting technical strategy, architecting foundational systems, and leading multiple engineers or cross-functional teams to deliver complex, ambiguous…
Added 1 hour ago
Senior Staff Machine Learning Engineer
Altana Technologies, Inc.
BROOKLYN, NY
…at AltanaWe're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public…
Added 1 hour ago
FPGA Engineer III
Applied Materials
Rochester, NY
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…
Added 1 hour ago
Manager, Forward Deployed Engineer
KPMG LLP
ROCHESTER, NY
…team.KPMG is currently seeking a Manager, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization.Responsibilities: * Own end-to-end solution architecture…
Added 1 hour ago
Staff Software Engineer, AI/ML
Google
New York, NY
Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Added 1 hour ago
Contractor05
Mphasis Corporation
NEW YORK, NY
Added 1 hour ago
Backend Software Engineer Defense
Palantir Technologies
NEW YORK, NY
…you're motivated to develop reliable, performant, scalable systems and design robust APIs and primitives, please join us.Some examples of product work you could work on are: * Build for…
Added 2 hours ago
I
System Solutions Engineer
InterImage
Remote, United States
- $170,000 to $230,000 USD / year
We are seeking a Technical Product Owner / Solutions Engineer to bridge the gap between customers, engineering teams, and mission stakeholders in the design and delivery of modern…

Google

Senior Software Engineer, AI/ML NLP, Deep Learning, Search Infrastructure

Mountain View, CA, United States

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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.
5 years of experience with software development in one or more programming languages.
3 years of experience with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions.
3 years of experience with deep learning, machine learning, and large-scale data processing.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with end-to-end Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science, or related technical field.
5 years of experience with data structures and algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
2 years of experience with AI Algorithms, Machine Learning Algorithms, Search Quality, and Search Infrastructure.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

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. We're seeking an engineer to contribute to DeepRank, one of the most impactful systems in Google Search, responsible for ranking web results. In this role, you will be involved in designing and optimizing this complex system. A key aspect of this role is to harness the newly available capabilities of Gemini, Google's advanced AI models, to push the boundaries of search relevance and quality. This is part of an exciting transition to build the next generation of DeepRank on the modern Gemax Prod framework.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Write and test product or system development code. Address research and engineering problems at the edge of GenAI with potential for immediate real-world user impact at massive scale for current and emergent query streams.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Conduct applied research figuring out research developments best suited to solve open-ended problems. Build end-to-end ML systems spanning data, modeling, evaluation, and serving and search scale.
Build a comprehensive understanding of the search stack, evaluation metrics, query sets, and philosophy of improving search quality and presentation. Partner closely with appropriate teams throughout Search, GDM, Research, Core ML, and Platforms.

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