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Principal Engineer, AI/ML Security

DigitalOcean

San Francisco, California • Today

Full-time

USD 230,400.00 - 288,000.00 per year

Principal Machine Learning Platform Engineer, Foundation AI

Roblox

San Mateo, California • Today

Full-time

USD 295,250.00 - 345,050.00 per year

Principal Software Engineer, Machine Learning

Attentive

San Francisco, California • Today

Full-time

USD 350,000.00 - 430,000.00 per year

Staff Machine Learning Engineer, Content Visual AI

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 189,308.00 - 389,753.00 per year

Senior Principal Engineer, Data & Machine Learning

Sony Interactive Entertainment (SIE)

San Mateo, California • Today

Full-time

USD 304,200.00 - 456,200.00 per year

Principal Software Engineer, Applied AI

Okta, Inc.

San Francisco, California • Today

Full-time

USD 224,000.00 - 308,000.00 per year

Principal ML Engineer

Electronic Arts

Redwood City, California • Today

Full-time

USD 204,600.00 - 287,500.00 per year

Staff Machine Learning Engineer, AI Platform & Agentic Apps

Robinhood

Menlo Park, California • Today

Full-time

USD 255,000.00 - 300,000.00 per year

Principal Software Engineer, ML & Media Infra

Pinterest, Inc.

Palo Alto, California • Today

Full-time

USD 285,452.00 - 449,541.00 per year

Full stack Ai Engineer-AI / ML Implementation, Python, TensorFlow, AI ML with Claude

Datum Software, Inc.

Remote • 19d ago

Easy Apply

Contract

Depends on Experience

Engineer I - DevSecOps (Ai Security)

Exelixis

Alameda, California • Today

Full-time

USD 144,000.00 - 182,000.00 per year

AI/ML Engineer (Artificial Intelligence & Machine Learning) (TEST JOB POSTING)

Dice US Sales Demo Account

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Senior Machine Learning Engineer I, AI & ML Platform

Spring Health

San Francisco, California • Today

Full-time

USD 183,000.00 - 205,000.00 per year

Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

Parallel Partners

Remote or San Francisco, California • Today

Full-time

Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

Parallel Partners

Remote or San Francisco, California • Today

Full-time

AI/ML Engineer

Info Way Solutions

San Francisco, California • 9d ago

Easy Apply

Full-time

100,000 - 150,000

AI/ML Engineer

Aivra Health LLC

San Francisco, California • Yesterday

Easy Apply

Full-time

150,000 - 200,000

Machine Learning Engineer, Applied AI Intern (Summer 2027)

BrainCo

San Francisco, California • Today

Full-time

Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027

BrainCo

San Francisco, California • Today

Full-time

Senior AI/ML Engineer

UnitedHealth Group

San Francisco, California • Today

Full-time

USD 145,500.00 - 249,500.00 per year

AI/ML Engineer, 2027 New Grad

BrainCo

San Francisco, California • Today

Full-time

Mid-Level AI & Machine Learning Engineer

Fieldwire

San Francisco, California • Today

Full-time

USD 170,000.00 - 195,000.00 per year

AI/ML Engineer

Abbott Laboratories

Alameda, California • Today

Full-time

Compensation information provided in the description

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Today

Full-time

USD 152,000.00 - 220,000.00 per year

Senior Machine Learning Engineer, AI-Native Evaluation & Search

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Principal AI Security Engineer

Kyndryl

Remote or Pennsylvania • Today

Full-time

USD 179,760.00 - 341,520.00 per year

Machine Learning Engineer II, Responsible AI

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 138,905.00 - 285,982.00 per year

Software Engineer III (AI/ML)

Guidewire Software Inc.

San Mateo, California • Today

Full-time

USD 114,000.00 - 202,000.00 per year

Sr Principal AI/ML Engineer: Office-Based preferred, will consider Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 184,600.00 - 316,500.00 per year

Job Details

Skills

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk
IT Risk Management
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
Risk Management Framework
RMF
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
SAP BASIS
Law

Reporting
Security Controls
Security Engineering
Threat Modeling
Evaluation
Roadmaps
Data Integrity
Social Engineering
Cyber Security
Data Science
Extraction
Security Analysis
Leadership
IT Risk
IT Risk Management
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
Risk Management Framework
RMF
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Talent Management
Professional Development
Training
Market Analysis
Sales
DigitalOcean
SAP BASIS
Law

Summary

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Principal Engineer, AI/ML Security who is passionate about securing AI systems and operationalizing ML-powered security at cloud scale.

In this role, you will report to the VP, Deputy CISO and partner closely with Security Data Science and Security leadership teams. You will lead DigitalOcean's engagement with the external AI security community and serve as our internal expert and escalation point for all AI-related security risk.
What You'll Do:

Partner with Product Security and Engineering leadership to define how AI security controls are integrated into DigitalOcean's customer-facing products.
Partner with Security Data Science and Security Engineering to build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations. Participate in ongoing monitoring of deployed models to detect drift, evaluate performance, and plan and implement improvements alongside model stakeholders.
Lead adversarial testing and AI red teaming, including jailbreaking, prompt-injection, evasion, and poisoning testing.
Lead security reviews of major AI product initiatives from design through launch, providing architectural sign-off and escalation guidance for high-risk decisions.
Threat modeling across the AI lifecycle: data ingestion, training/fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring
Own and drive DigitalOcean's AI Security strategy and multi-year roadmap, defining where we invest, what risks we prioritize, and how AI security evolves as the threat landscape and product portfolio change.
Architect and lead the AI Risk & Governance framework: establishing policies, standards, and controls for the responsible development, deployment, and monitoring of AI/ML systems across DigitalOcean and Cloudways.
Represent AI security at executive and board-level briefings; communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership in clear, business-contextualised terms.
Define DigitalOcean's position on emerging AI security topics including agentic AI, model supply chain risk, synthetic data integrity, and AI-enabled social engineering.

What You'll Add to DigitalOcean:

10+ years of experience in cybersecurity, with at least 4-5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment.
Demonstrated track record of defining and driving AI or security programs at an organizational level - not just executing within them. You have owned a strategy, not just implemented one.
Deep, practitioner-level knowledge of adversarial ML attack and defence: evasion, poisoning, model extraction, membership inference, and prompt injection at both conceptual and implementation depth.
Ability to read, evaluate, and synthesise academic AI security research and translate it into concrete engineering guidance and organizational policy.
Experience engaging executive and senior leadership audiences on technical risk: you can translate complex AI threat scenarios into business-level impact and justify investment decisions accordingly.
Strong programming skills in Python and Go with a track record of building security tooling and automation, not just reviewing others' code. You can stand up adversarial testing, detection, and guardrail capabilities yourself.
Proficiency reviewing and critiquing AI/ML system architecture (data ingestion, feature engineering, training pipelines, model serving, continuous monitoring) made by ML engineers and data scientists.
Hands-on experience with AI red-team and defensive tooling and with model supply-chain frameworks.
Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or a related field - or equivalent depth of practical experience.
Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Prior experience in a cloud provider, security product company, or large-scale internet platform where AI/ML systems operate at significant customer-facing scale.
Familiarity with LLM security in production: securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Compensation Range:

$230,400 - $288,000
Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.

Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

*This is a remote role

JR: 2026-7824

#LI-Remote

Why You'll Like Working for DigitalOcean

We innovate with purpose. You'll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you'll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
We prioritize career development. At DigitalOcean, you'll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.

Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean's annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91116063
Position Id: 5aec10583236d17d7c83f2f411c9c4d8
Posted 30+ days ago

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San Francisco, California

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Today

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AI Platform & Security Engineer

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