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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

Distinguished Principal Engineer - AI Science

MSCI

San Francisco, California • Today

Full-time

USD 225,000.00 - 250,000.00 per year

Senior Security Engineer, AI/ML

Qualys

Foster City, California • Today

Full-time

USD 115,000.00 - 140,000.00 per year

Lead Software Engineer - AI/ML Engineering, GPU ML Serving

JPMorgan Chase & Co.

Palo Alto, California • Today

Full-time

USD 156,750.00 per year

Principal Machine Learning Engineer, SecureAI

Okta, Inc.

San Francisco, California • Today

Full-time

USD 238,000.00 - 326,000.00 per year

Principal Engineer, AI Security Governance | Endpoint Security Engineering

ServiceNow, Inc.

Remote or Kirkland, Washington • Today

Full-time

USD 221,200.00 - 387,100.00 per year

Principal Software Engineer, Machine Learning

Attentive

San Francisco, California • Today

Full-time

USD 350,000.00 - 430,000.00 per year

Staff Software Engineer - AI / ML

The Search Solutions, LLC

Remote • 12d ago

Easy Apply

Full-time

Depends on Experience

Senior Staff Security Engineer, AI Security

Ripple

San Francisco, California • Today

Full-time

USD 232,000.00 - 290,000.00 per year

Staff Machine Learning Engineer, Voice AI

Together AI

San Francisco, California • Today

Full-time

USD 220,000.00 - 280,000.00 per year

Staff Software Engineer, AI/ML Infrastructure

Thumbtack

Remote • Today

Full-time

USD 249,900.00 - 323,400.00 per year

Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

Apple, Inc.

San Francisco, California • Today

Full-time

Staff Machine Learning Engineer, Visual AI

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 189,308.00 - 389,753.00 per year

Senior/Principal Platform Engineer, ML Platform

Roblox

San Mateo, California • Today

Full-time

USD 260,300.00 - 345,040.00 per year

Senior Application Security Engineer, AI and Machine Learning

Lightning AI

San Francisco, California • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Principal Software Engineer, AI Tooling & Adoption

Fivetran

Oakland, California • Today

Full-time

USD 225,813.00 - 282,266.00 per year

Principal Engineer, AI

Anaplan

Remote or Pennsylvania • Today

Full-time

Principal Software Architect - AI & Security

Mainspring Energy

Remote or Menlo Park, California • Today

Full-time

USD 227,500.00 - 280,000.00 per year

AI Principal Engineer - Clinical Data Analytics

Exelixis

Alameda, California • Today

Full-time

USD 172,000.00 - 245,000.00 per year

Staff Machine Learning Engineer - AI Cloud

Rippling

San Francisco, California • Today

Full-time

USD 198,000.00 - 330,000.00 per year

Senior Machine Learning Engineer I, AI & ML Platform

Spring Health

San Francisco, California • Today

Full-time

USD 183,000.00 - 205,500.00 per year

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Today

Full-time

USD 152,000.00 - 220,000.00 per year

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

AI/ML Engineer

Aivra Health LLC

San Francisco, California • 3d ago

Easy Apply

Full-time

150,000 - 200,000

Sr. Cloud and AI Security Engineer

Maxonic, Inc.

Dublin, California • 25d ago

Easy Apply

Full-time

Depends on Experience

AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

Apple, Inc.

San Francisco, California • Today

Full-time

Senior Machine Learning Engineer, Voice AI

Together AI

San Francisco, California • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or San Francisco, California • Today

Full-time

USD 145,500.00 - 249,500.00 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/ML Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Plymouth, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 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 Management
IT Risk
Python
Testing
Systems Architecture
Continuous Monitoring
Supply Chain Management
Computer Science
Information Security
Mathematics
Fluency
OWASP
ATLAS
RMF
Risk Management Framework
ISO 9000
Internet
Machine Learning (ML)
Customer Facing
Cloud Computing
Artificial Intelligence
Organizational Development
Training
LinkedIn
Market Analysis
DigitalOcean
SAP BASIS
Military

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

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

*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 an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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 5 hours ago

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