Jobs in the United States

25+ jobs

Save this search

Added just now
Sr. Software Engineer – Robot Applications & Voice AI
Cerence GmbH
Remote, United States
Data Loop Contribution: Build telemetry, logging, and evaluation mechanisms supporting continuous model improvement.
Added 2 mins ago
Systems Engineer 4
Ultra Electronics Advanced Tactical Systems, Inc.
United States
Ultra I&C is hiring a Model Based Systems Engineer to join us in our Huntsville, AL or Austin, TX locations. This position will lead a variety of system design and development efforts…
Added 5 mins ago
O
Data Scientist, Preparedness
OpenAI
San Francisco, CA
- $265,000 to $380,000 USD / year
- Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.
Added 8 mins ago
Senior AI Engineer
Ultimus Fund Solutions
Columbus, OH · Omaha, NE · Cincinnati, OH · New York, NY · Minneapolis, MN · Philadelphia, PA · Clifton Park, NY · Milwaukee, WI
Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency
Added 8 mins ago
Senior Manager, Infrastructure & AI Engineering
Ultimus Leverpoint Private Fund Solutions
Columbus, OH · Cincinnati, OH
Manage the platform budget, cloud and model-usage costs, and vendor and partner relationships, including knowledge transfer from external partners during the initial build.
Added 8 mins ago
Solution Architect, AI Platform
Ultimus Leverpoint Private Fund Solutions
Columbus, OH · Cincinnati, OH
Own the end-to-end architecture of the enterprise AI platform on Azure: AI gateway and model routing, generative AI and machine learning services, agent orchestration, memory and retrieval,…
Added 8 mins ago
DevOps Engineer, AI Platform
Ultimus Leverpoint Private Fund Solutions
Columbus, OH · Cincinnati, OH
Implement monitoring, logging, tracing and alerting for AI applications, agents and model usage, including cost and token tracking.
Added 9 mins ago
S
Head of Data Science, Compliance Products
Socure
San Francisco, CA · Miami, FL · New York, NY · Seattle, WA
- $250,000 to $300,000 USD / year
Own the end-to-end model lifecycle: data strategy, feature development, experimentation, validation, deployment, monitoring, and continuous improvement.
Added 10 mins ago
Senior Data Scientist
The Harbor Health Team Inc
Remote, United States
…you define the questions that matter, build the analysis or model, put it in front of the people who act on it, and stay with it until the result is in…
Added 12 mins ago
Nurse Practitioner or Physician Assistant (SNF/LTC)
Curana Health
Carson City, NV
…directly to seniors where they live. Through our innovative care model, you'll have the opportunity to build meaningful patient relationships, improve outcomes, reduce unnecessary…
Added 12 mins ago
Nurse Practitioner or Physician Assistant (SNF/LTC)
Curana Health
Dallas, TX
…directly to seniors where they live. Through our innovative care model, you'll have the opportunity to build meaningful patient relationships, improve outcomes, reduce unnecessary…
Added 12 mins ago
Nurse Practitioner or Physician Assistant (AL/IL)
Curana Health
Plano, TX
…directly to seniors where they live. Through our innovative care model, you'll have the opportunity to build meaningful patient relationships, improve outcomes, reduce unnecessary…
Added 12 mins ago
Senior AI Engineer
Cornell University
United States
Hands‑on experience delivering and operating Generative AI / LLM‑backed applications in production environments, including model orchestration, vector databases, and AI agent frameworks.
Added 16 mins ago
Senior Software Engineer, AI/ML GenAI, Core
Google
Kirkland, WA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 16 mins ago
Senior Pricing & Monetization Data Scientist
Fivetran
Oakland, CA
Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
Added 17 mins ago
A
Senior SDE, Luna Gen AI
Amazon
Seattle, WA
- $151,300 to $261,500 USD / year
We're looking for a Senior Software Engineer with a developer-focused, customer-obsessed mindset, strong ownership mentality, and deep expertise in building production systems at scale.…
Added 17 mins ago
Sr. Product Manager- Technical, WW Ops Finance S&A
Amazon
Seattle, WA · Bellevue, WA
…manage a unified roadmap, prioritization framework, entitlement model, and success metrics that connect data governance directly to finance-routine outcomes (e.g., faster bridge delivery,…
Added 17 mins ago
Software Development Engineer, AWS Quick Business Intelligence
Amazon
Seattle, WA
Knowledge of machine learning model architecture and inference
Added 17 mins ago
Senior Manager, Data Science
Nordstrom
Seattle, WA
Move the team beyond asking only “Did model B outperform model A?” toward understanding why customer behavior changed, who benefited, and whether the change created meaningful customer and…
Added 17 mins ago
Senior Data Scientist - Personalization & Relevance
Nordstrom
Seattle, WA
This role will help evolve our Data Science organization from isolated model development toward connected, measurable, and reusable personalization capabilities.
Added 17 mins ago
Senior Officer, Advocacy, International Relations and Policy Planning, North America Team (16 month LTE)
Bill and Melinda Gates Foundation
Seattle, WA
Sports advocacy model: Lead development of a strategic approach to better leverage sport to advance maternal and child survival. Support the operationalization of new ideas and engagement…
Added 17 mins ago
AI Scientist - Agentic Verticals
Zoom
Seattle, WA
…Zoom’s AI agent products. Our work spans agent evaluation, model optimization, synthetic data generation, and self-improving systems, with direct influence on Zoom Virtual Agent and other…
Added 17 mins ago
Software Engineer III, AI/ML GenAI
Google
Kirkland, WA · Seattle, WA
1 year of experience with end-to-end Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Added 23 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Define and implement a scalable model for transitioning solutions from prototype to long-term ownership by internal teams.
Added 24 mins ago
Principal Product Manager Tech, Prime Video
Amazon.com Services LLC
Seattle, WA
- Collaborate with engineering and applied/data science teams to translate business problems into model requirements, ensuring technical feasibility and alignment with product goals

Google

Principal Engineer, Safeguards

Sunnyvale, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 15 years of professional experience in engineering leadership or related technical roles.
Posting language: English

Original job description

Minimum qualifications:

Bachelor’s degree in Computer Science or equivalent practical experience.
15 years of professional experience in engineering leadership or related technical roles.
Experience in AI and machine learning, including building and deploying classifiers and ML systems in production.

Preferred qualifications:

Experience with command of threat modeling, particularly for complex, evolving, and adversarial systems.
Experience securing agentic or autonomous AI systems (tool use, planning, multi-agent).
Experience with agent platform technologies such as Vertex AI or Gemini Enterprise.
Demonstrated ability to make risk-based trade-offs and to reduce complexity in hard problem spaces.
Proven track record of building defenses that have meaningfully and measurably reduced risk.
Depth in adversarial ML, red-teaming, or abuse/fraud detection, and a strong track record of influencing without authority and working effectively across teams.

Within the Cloud AI organization, we focus on building highly differentiated, highly scalable, and easy-to-use products and services that enable our customers to transform their business with AI. Products such as Vertex AI and Gemini Enterprise comprise a portfolio that spans the needs of Developers, Data Scientists, Operation specialists in a broad range of industries. We not only provide customers with state-of-the-art models, such as Gemini, but also full Agent platforms and applications with strong security and governance. The Principal Engineer, Cloud AI Safeguards is a senior individual contributor and the technical authority for safety and security across the Cloud AI product portfolio, with a primary focus on agentic safety. Reporting to the Senior Director of Cloud AI Safeguards Engineering, this role sets technical direction without managing people: defining architecture, raising the engineering bar, and personally designing and building defenses that meaningfully reduce risk as model capabilities, product surfaces, and adversaries evolve. Agentic systems make the safety problem substantially harder - autonomous tool use, long-horizon planning, and untrusted inputs expand the attack surface - and this role exists to get ahead of that complexity rather than react to it. The ideal applicant looks deeply into hard problems, approaches them with curiosity and objectivity, works across teams and individuals to recommend solutions, and makes complexity legible by explaining it clearly and designing it away. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Design, prototype, and ship safety for AI driven threats across CBRN, Cyber, Agentic, Fraud risks with classifiers, runtime policy enforcement, and ML systems. Own the technical vision and reference architecture for safeguarding agentic systems across tool use, planning, memory, and multi-agent interactions, etc.
Lead threat modeling for increasingly complex attack surfaces, anticipating adversary behavior and translating it into concrete engineering requirements and defenses.
Shape the shared safety and security infrastructure that AI workloads depend on, ensuring defenses are reusable across products.
Work objectively across teams and team members to diagnose problems, recommend solutions, align on standards, and raise the engineering bar through design reviews, mentorship, etc.
Build data analysis, detection, and response capabilities needed to observe safety-relevant behavior at scale, measure efficacy, and close the loop quickly when threats emerge.

Apply About employer

More about this job

Skills

Computer science
Leadership
Machine learning
ML
Fraud detection
Google Cloud
Data analysis

Report this job