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Founding Machine Learning Engineer
Adaptive Security · New York, NY, United States
Pay
$135k–270k
Setting
On-site
Founding Machine Learning Engineer
Location
NYC
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
About Adaptive
NVIDIA and OpenAI’s only AI cybersecurity investment.
Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks. In December 2025, the company announced an $81M Series B led by NVIDIA and Bain Capital Ventures, with participation from Capital One Ventures, Citi Ventures, and continued support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. The round marked NVIDIA’s first AI cybersecurity investment.
Adaptive was founded by Brian Long and Andrew Jones, repeat entrepreneurs who have built and scaled category-defining companies. Brian and Andrew previously co-founded Attentive, which grew to more than $500M in annual revenue and a $10B+ valuation, and TapCommerce, which was acquired by Twitter. Together, they bring deep experience building high-growth, product-led businesses at massive scale as Adaptive builds the security layer for the AI era.
Trusted by leading banks, technology companies, and healthcare organizations, Adaptive protects teams from emerging threats like deepfakes, smishing, and AI-powered voice scams. With rapid enterprise adoption and a $200B+ market ahead, the company is just getting started.
Role
We are seeking a Founding ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time. The ML problems here are adversarial by nature. Attackers actively evolve to evade detection, labeled data is scarce for novel attack vectors, and models need to operate at production scale with strict latency constraints.
We don't have dedicated ML infrastructure or an ML team today. You'll be building this from the ground up. You will set the technical direction, stand up the infrastructure, and do the hands-on work yourself. You’ll hire your first engineers and grow the function as our ML surface area expands this year and beyond.
Compensation
Adaptive has raised $146M from top-tier investors including BCV, a16z, NVIDIA, and OpenAI. Our roadmap depends on standing up an ML function that doesn’t yet exist, and we’re ready to compensate accordingly. Expect market level compensation and huge ownership over the ML platform from day one.
Responsibilities
Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.
Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving.
Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes.
Own the strategy for getting the data you need, in the format you need it — what/how to label, how to build feedback loops, and how our models improve over time.
Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase.
Build and lead the ML team as scope grows.
Qualifications
8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company.
Strong software engineering fundamentals. You write production-quality code in modern languages (Python, Java, TypeScript) and work within large codebases.
Experience with cloud ML infrastructure (AWS SageMaker, Bedrock, Modal, Baseten, or similar).
Experience with common ML and data processing frameworks (PyTorch, Tensorflow, Spark)
Comfortable working across the stack — infrastructure, backend services, and data systems.
Track record of mentoring MLEs and other engineers with observable, clear improvements in those you've worked with.
High autonomy. You'll have support and context from leadership, but you're expected to define the path forward and drive it.
Compensation & Benefits:
Competitive cash compensation and meaningful stock.
Several medical plans to choose from, most covered at 100% by Adaptive.
401k through Vestwell.
Unlimited PTO, including winter break from Dec 24 - Jan 1.
A fantastic office atmosphere including coffee, espresso, lounge, snacks, whiteboards, and tons of conference space.
Rotating choice of 4 free lunch options from local restaurants every day.
Expense dinner if you’re in the office past 7pm. Expense Uber if you happen to stay past 9pm.
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Software Engineer, Product & Platform
Adaptive Security · New York, NY, United States
Pay
$125k–300k
Setting
On-site
Software Engineer, Product & Platform
Location
NYC
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
NYC
$125K – $300K • Offers Equity
Overview
Application
About Adaptive
Adaptive Security is building the next-generation security platform for the AI age.
Attackers can now use AI to generate deepfakes and orchestrate highly personalized attacks at massive scale against anyone in an organization. We help companies prepare for that reality by simulating modern attacks, educating employees, detecting malicious emails, preventing risky behavior, and giving security teams the visibility they need to keep their organizations safe.
We are early, moving quickly, and already emerging as a leader in one of the fastest-growing areas of security. We have raised over $146M to solve a problem that is getting more serious every month. Most recently, we announced our $81M Series B led by Bain Capital Ventures, with participation from NVIDIA’s NVentures, Capital One Ventures, Citi Ventures, and continued support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures.
Adaptive was founded by Brian Long and Andrew Jones, repeat entrepreneurs who have built and scaled category-defining companies. They previously co-founded Attentive, which grew to more than $500M in annual revenue and a $10B+ valuation, and TapCommerce, which was acquired by Twitter. Together, they bring deep experience building high-growth, product-led businesses at massive scale as Adaptive builds the security layer for the AI era.
Software Engineer, Product & Platform
We’re looking for an experienced full-stack engineer who is eager to build core product and platform systems across Adaptive. As we scale to 1,200+ customers and millions of employees on our platform, there is no shortage of meaningful problems to solve. You might own a customer-facing workflow end-to-end, design a new simulation capability, scale product infrastructure, improve our detection systems, or help launch a new greenfield product into market.
Our engineers build with a taste for simplicity, extensibility, and maintainability. We keep our systems and codebase approachable so engineers can stay close to the full product, move quickly, and contribute without any domain boundaries. You’ll help us refine problem statements, define solutions, ship the first version, learn from customers, and raise the bar for the team around you.
This is a role for engineers who want the autonomy and ownership that come from being close to the product, close to customers, and close to the technical decisions that shape the company’s future.
What You’ll Do
Build end-to-end systems. You’ll work with a top-tier engineering team and close cross-functional partners to ship products that prevent AI-powered social engineering. You’ll work across backend services, detection pipelines, product infrastructure, and delightful user experiences.
Drive execution and product strategy. You’ll take ambiguous customer problems, evaluate tradeoffs, and collaborate in-person with product, design, and engineering on the right path forward.
Ship high-quality production software. You’ll work on a fast-paced team alongside a group of DX-obsessed engineers who optimize for no-maintenance products. You’ll build for speed without creating chaos: simple designs, thoughtful abstractions, reliable systems, and products that are easy to operate.
Help the team get better. You’ll share context, review thoughtfully, mentor where you have depth, and keep learning from engineers with different strengths.
What You’ll Bring
You have built and operated production software. You have 3+ years of hands-on experience shipping products that real users depend on.
You are hungry for more ownership and autonomy. Our engineers thrive when they are trusted to make decisions and own their outcomes.
You care about craft and balance it with pragmatism. You know when to prototype, when to harden, and when to simplify.
You communicate clearly and empathetically. You can explain nuanced ideas and tradeoffs at the right level of abstraction for different audiences.
You’ll stand out if
You have built enterprise SaaS products in either security, AI, or data-intensive environments.
You have led teams, founded a company, or worked in a high-growth startup environment.
You have existing expertise with our stack: Java, Spring Boot, TypeScript, React, PostgreSQL, and AWS.
Compensation & Benefits:
Competitive cash compensation and meaningful stock.
Several medical plans to choose from, most covered at 100% by Adaptive.
401k through Vestwell.
Unlimited PTO, including winter break from Dec 24 - Jan 1.
A fantastic office atmosphere including coffee, espresso, lounge, snacks, whiteboards, and tons of conference space.
Rotating choice of 4 free lunch options from local restaurants every day.
Expense dinner if you’re in the office past 7pm. Expense Uber if you happen to stay past 9pm.
Environment
This role is located in New York City, and requires the candidate to work from our office in New York City five days a week.
If you are eager to apply your skills in a dynamic, collaborative environment, and are passionate about building systems that are both powerful and accessible, we would love to hear from you.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Adaptive Security for a position based in the United States. Employers on this board attest they are hiring domestically.
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