Home › Companies › Dynamo AI › Senior Applied ML Research Engineer, Agentic Security

Senior Applied ML Research Engineer, Agentic Security

Dynamo AI · New York, NY, United States · Remote · Active · Rippling ATS

Job facts

Field	Value
Company	Dynamo AI
Title	Senior Applied ML Research Engineer, Agentic Security
Normalized title	-
Department / team	Technology
Location	New York, NY, United States
Work model	Remote / Remote
Employment type	Full Time
Salary	-
Status	active
ATS provider	Rippling ATS
Posted / first seen	2026-04-01 / 2026-05-29
Changed / last seen	2026-06-06 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Dynamo AI.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Rippling ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in New York.	Open
Department jobs	Active postings in Technology.	Open
Work model jobs	Active Remote postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Dynamo AI
Source	97bae03f-2a3b-47ca-81ff-d35778ef9f96
ATS provider	Rippling ATS

Description

company About Dynamo AI Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government. We’re backed by leading partners and rapidly expanding with some of the world’s most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (>$30M raised), with offices in NYC, SF, and a European office planned to open soon. The Applied Research Team builds zero-to-one security capabilities with fast iteration cycles. We live at the boundary between research and product: inventing what "agentic security" should mean, proving it through experiments, and turning it into systems customers can rely on. Right now, we're building Agent Warden: a security layer that finds systematic attack patterns in agentic systems, localizes risk through static and dynamic analysis, and turns that into surgical, automated defenses. role About the Role You'll help define an emerging area: how to find and neutralize the security risks that emerge when agents act, plan, and use tools autonomously. This role is research-heavy and engineering-heavy: you'll design experiments, build prototypes, fine-tune models, and pressure-test systems against adversarial behavior. You'll iterate quickly, learn from failures, and scale what works, while building the monitoring and evaluation infrastructure that makes progress measurable. You can see what we're building here . In this role you will: Define and validate threat models for agentic systems, identifying which tool characteristics must co-exist to enable data exfiltration and malicious state change, and how to break those combinations Design and run experiments: create synthetic environments like file systems and tools, create task distributions that have attack paths and apply different attack strategies Break (manually and using optimization algorithms such as RL) agentic systems in Design and improve static and dynamic analysis methods that automatically map tool capabilities to risk across diverse tool ecosystems, and make those methods scale Turn research insights into product-facing capabilities: risk classification, automated guardrail generation, and quantitative threat measurement Build measurement tools: eval harnesses, monitoring, dashboards, and feedback loops that quantify security outcomes Build capability and regression evals Optimize systems for real-world constraints (latency, cost, reliability) without losing scientific rigor You might thrive in this role if: You have an MS or PhD in CS/ML (or equivalent research experience) and enjoy working under uncertainty You've fine-tuned and evaluated models in practice and can reason about data quality, overfitting, evals, and deployment constraints You can write strong production code, and you're comfortable owning the infrastructure that makes agentic evals run end-to-end. You care about reproducibility and instrumentation. No AI slop. You're motivated by security problems and enjoy thinking like both builder and attacker You reason about how capabilities combine into risk: not just individual vulnerabilities, but system-level attack surfaces across tool ecosystems You communicate clearly, iterate fast, and can hold a technical narrative from "hypothesis" to "shipped" What we offer Competitive salary + equity, so you share in the company's upside Work at the forefront of AI security, helping define a new category Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco Fully funded team retreats every 8 weeks Health insurance allowance for you and your dependents Wellbeing, learning, and home office allowances (to support health, growth, and your setup)

Full job record

Job ID	4707a650995db92f6875b55e54973b13d22d0d07
Org ID	70b0761b-313e-49fd-9a28-2bc4447b00cf
Source ID	97bae03f-2a3b-47ca-81ff-d35778ef9f96
Board ID	97bae03f-2a3b-47ca-81ff-d35778ef9f96
Provider	rippling
Provider Job Key	33ede0d9-cd88-425c-94b8-8b1e51e9e3ad
Title	Senior Applied ML Research Engineer, Agentic Security
Normalized Title	—
Status	active
Active	yes
Location Text	New York, NY, United States
Department	Technology
Team	—
Employment Type	full_time
Workplace Type	remote
Remote Policy	remote
Country	United States
Region	NY
City	New York
Salary Raw	—
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://ats.rippling.com/dynamo-ai/jobs/33ede0d9-cd88-425c-94b8-8b1e51e9e3ad
Apply URL	https://ats.rippling.com/dynamo-ai/jobs/33ede0d9-cd88-425c-94b8-8b1e51e9e3ad
First Seen At	2026-05-29 07:17:23Z
Last Seen At	2026-06-06 08:45:29Z
Last Checked At	2026-06-06 08:45:29Z
Last Changed At	2026-06-06 08:45:29Z
Inactive At	—
Source Posted At	2026-04-01 13:48:23Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=dynamo-ai/date=2026-06-06/2026-06-06T08-45-28-331Z-74d552bebb1759c6fc6362ce98f4a4dcee89ac0e7cc4b913dd83180d795680a8.json

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      "role": "<meta><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(26,26,26);font-size:13pt;white-space:pre-wrap;\">About the Role</strong></b></h2><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You'll help define an emerging area: how to find and neutralize the security risks that emerge when agents act, plan, and use tools autonomously. This role is research-heavy and engineering-heavy: you'll design experiments, build prototypes, fine-tune models, and pressure-test systems against adversarial behavior. You'll iterate quickly, learn from failures, and scale what works, while building the monitoring and evaluation infrastructure that makes progress measurable. You can see what we're building </span><a href=\"https://www.dynamo.ai/agentwarden\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><u><span style=\"color:rgb(26,115,232);font-size:11pt;text-decoration:underline;white-space:pre-wrap;\">here</span></u></a><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">In this role you will:</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Define and validate threat models for agentic systems, identifying which tool characteristics must co-exist to enable data exfiltration and malicious state change, and how to break those combinations</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Design and run experiments: create synthetic environments like file systems and tools, create task distributions that have attack paths and apply different attack strategies</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Break (manually and using optimization algorithms such as RL) agentic systems in</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Design and improve static and dynamic analysis methods that automatically map tool capabilities to risk across diverse tool ecosystems, and make those methods scale</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Turn research insights into product-facing capabilities: risk classification, automated guardrail generation, and quantitative threat measurement</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Build measurement tools: eval harnesses, monitoring, dashboards, and feedback loops that quantify security outcomes</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Build capability and regression evals</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Optimize systems for real-world constraints (latency, cost, reliability) without losing scientific rigor</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(26,26,26);font-size:13pt;white-space:pre-wrap;\">You might thrive in this role if:</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You have an MS or PhD in CS/ML (or equivalent research experience) and enjoy working under uncertainty</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You've fine-tuned and evaluated models in practice and can reason about data quality, overfitting, evals, and deployment constraints</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You can write strong production code, and you're comfortable owning the infrastructure that makes agentic evals run end-to-end. You care about reproducibility and instrumentation. No AI slop.</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You're motivated by security problems and enjoy thinking like both builder and attacker</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You reason about how capabilities combine into risk: not just individual vulnerabilities, but system-level attack surfaces across tool ecosystems</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">You communicate clearly, iterate fast, and can hold a technical narrative from \"hypothesis\" to \"shipped\"</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(26,26,26);font-size:13pt;white-space:pre-wrap;\">What we offer</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Competitive salary + equity, so you share in the company's upside</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Work at the forefront of AI security, helping define a new category</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Fully funded team retreats every 8 weeks</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Health insurance allowance for you and your dependents</span></li><li style=\"color:rgb(26,26,26);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">Wellbeing, learning, and home office allowances (to support health, growth, and your setup)</span></li></ul>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About Dynamo AI</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">We’re backed by leading partners and rapidly expanding with some of the world’s most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (&gt;$30M raised), with offices in NYC, SF, and a European office planned to open soon.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(26,26,26);font-size:11pt;white-space:pre-wrap;\">The Applied Research Team builds zero-to-one security capabilities with fast iteration cycles. We live at the boundary between research and product: inventing what \"agentic security\" should mean, proving it through experiments, and turning it into systems customers can rely on. Right now, we're building Agent Warden: a security layer that finds systematic attack patterns in agentic systems, localizes risk through static and dynamic analysis, and turns that into surgical, automated defenses.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>"
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            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "phone_number",
            "title": "Phone number",
            "required": true,
            "fieldData": {},
            "fieldType": "PHONE_NUMBER"
          },
          {
            "oid": "location",
            "title": "Location (city only)",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "linkedin_link",
            "title": "LinkedIn link",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "website_link",
            "title": "Website link",
            "required": false,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "resume",
            "title": "Resume",
            "required": true,
            "fieldData": {},
            "fieldType": "FILE"
          },
          {
            "oid": "cover_letter",
            "title": "Cover letter",
            "required": false,
            "fieldData": {},
            "fieldType": "FILE"
          }
        ]
      },
      "additionalQuestions": null
    },
    "hasAIEvaluationsEnabled": false,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "696814176db9a6d8967872ed",
    "eeocQuestionnaireEnabledForJobPost": true
  },
  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/dynamo-ai/jobs/33ede0d9-cd88-425c-94b8-8b1e51e9e3ad",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 15446
  },
  "detail_errors": []
}

Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/4707a650995db92f6875b55e54973b13d22d0d07?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/70b0761b-313e-49fd-9a28-2bc4447b00cfJSON

GET https://api.bluedoor.sh/job-postings/v1/sources/97bae03f-2a3b-47ca-81ff-d35778ef9f96JSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/4707a650995db92f6875b55e54973b13d22d0d07/eventsJSON

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