Stanford, CA

Engineer Jobs in Stanford, CA

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1d ago

Senior Software Engineer

Stanford University Stanford, CA

Stanford, CA

1d ago

Full time Senior APIs Artificial Intelligence

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Job Description

Stanford University, through Stanford GSB Digital Solutions, is seeking a Senior Software Engineer to support a portfolio of web applications and cloud platforms. The role spans the full delivery lifecycle, from early feasibility work to production operations, with an emphasis on building secure, scalable, AI-enabled applications.

This onsite position in Stanford, CA involves turning prototypes into dependable software, incorporating security and privacy throughout development, and partnering across teams and business stakeholders to deliver measurable value.

What you will do

Design and develop complex applications, web solutions, and integrations aligned to business needs.
Assess new ideas for feasibility, value, data availability, security, cost, and operational impact; build prototypes, validate assumptions with users, and recommend next steps.
Develop AI-enabled applications and workflows using appropriate models, APIs, retrieval techniques, and tools; use AI development tools effectively while staying accountable for code quality and correctness.
Bring successful prototypes into secure, scalable production with automated testing, deployment pipelines, monitoring, and rollback capabilities.
Embed security and privacy across development, including access controls, protection of sensitive data, and safeguards against AI-specific risks.
Own the application life cycle, including deployment, production support, documentation, maintenance, dependency and model upgrades, migration, and retirement.
Oversee testing, debugging, and change control; evaluate application and AI performance, reliability, output quality, latency, and cost, and address failures and regressions.
Lead projects and troubleshoot complex issues; mentor engineers, help establish standards, and contribute to long-term technical planning.
Collaborate with business users, analysts, QA, and distributed remote technical teams across time zones to improve processes and deliver value, following GSB principles such as open, honest, and timely communication, personal ownership, and innovation.
Perform other duties as assigned.

Minimum qualifications

Education: Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.
Experience: 8 years of increasing responsibility in software development, or a combination of education and relevant experience.
AI experience: At least 2 years of sustained, hands-on experience building, evaluating, and improving AI-enabled applications or substantive AI workflows (chatbots, AI plugins, or code assistants alone do not satisfy this requirement).
Demonstrable AI experience from professional work, applied research, open-source contributions, or sustained independent projects, including the ability to explain implementations, experiments, technical decisions, failures, and improvements.
Proven ability to independently assess ambiguous ideas, rapidly build working prototypes, and deliver and support production applications, including AI-enabled solutions.
Practical experience with model APIs or SDKs, prompt and context design, and patterns such as retrieval-augmented generation, structured outputs, or tool calling, including evaluation across quality, latency, cost, and privacy.
Experience using AI coding assistants or agentic development tools for substantive development, debugging, testing, or refactoring, with the ability to understand, validate, and maintain the resulting code.
Strong coding skills in at least one language such as Java, Python, PHP, or C#, plus experience with frontend and backend web development, including JavaScript frameworks such as React or NextJS.
Understanding of software architecture, testing, deployment, and life cycle management, including secure coding, scalability, accessibility, complex workflows, and system integration.
Skills in one or more areas such as API development, service-oriented architecture, cloud computing, MVC, or mobile application development.
Demonstrated technical leadership and mentoring, with experience working in distributed agile/scrum teams and explaining technical tradeoffs to technical and nontechnical audiences.

Technologies

AI, Java, Python, PHP, C#, JavaScript, React, NextJS
Model APIs, SDKs
Retrieval-augmented generation, structured outputs, tool calling
Cloud computing, API development, service-oriented architecture, MVC, mobile application development

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2mo ago

Application Security Engineer - AI Trainer

DataAnnotation Stanford, CA 🇺🇸 Remote

Stanford, CA

2mo ago Closed

$50 - $100/hr Contract Ai Security Training Application Security Information Security

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

DataAnnotation is seeking an Application Security Engineer - AI Trainer to support the training of AI models focused on cybersecurity. This contract role combines hands-on security evaluation with technical problem solving, helping ensure AI-generated security guidance is accurate, valid, and useful.

The work centers on reviewing AI outputs related to threats, vulnerabilities, and offensive techniques, then feeding back insights that influence how the next generation of AI security model reasoning is formed.

Responsibilities

Assess AI-generated cybersecurity content for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques.
Develop and solve security-focused technical problems used to train AI systems.
Create clear technical explanations and security-relevant code.
Provide feedback that directly contributes to improving future AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Some coding experience is required, with comfort navigating and patching a codebase.
Fluency in English at native or bilingual level, with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, or similar.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects to take on and when to work, using your own computer from home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour.
Higher bonus rates may be available for certain projects.
Impact: help shape AI technologies built for cybersecurity.

Additional Notes

Payment is made via PayPal.
DataAnnotation will never ask for any money from applicants.
This job is available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Engineer Jobs in Stanford, CA

Senior Software Engineer

Application Security Engineer - AI Trainer

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