Machine Learning Engineer, Doppel
Detection, TOR
CA$183-429.4k
+ Equity
Social engineering defense platform
Open for applications
Social engineering defense platform
201-500 employees
Open for applications
CA$183-429.4k
+ Equity
201-500 employees
Company mission
To protect the world from social engineering attacks every day.
Role
Who you are
- Have experience building and deploying ML systems in production environments
- Are comfortable working with large-scale datasets and distributed data processing frameworks
- Understand the trade-offs between research-quality models and production-ready systems
- Are excited about solving real-world problems where the adversary is constantly evolving
What the job involves
- We're building the AI-native social engineering defense platform
- This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats
- We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems
- Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources
- Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest
- Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
- Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems
Our take
While the NFT space is often one that is enticing to investors and traders, there are persistent issues with fraud in the market. Cybercriminals are able to pass off any image as their own intellectual property, and while NFT marketplaces do abide by copyright laws this kind of fraud can be hard to spot before money changes hands. The damage to a brand's reputation and customer trust can be hard to rectify.
Doppel exists to solve this problem. Using an AI model trained to spot fraud and IP violations, it indexes NFT data across most of the major blockchains and flags potentially fraudulent NFTs. Trusted by Opensea, Dapper and numerous other marketplaces, Doppel scans over 1.5 million NFTs daily and has identified over 100,000 threats in the marketplace.
Doppel has raised significant funding, its 2025 round aimed at accelerating product innovation and expanding its capabilities beyond NFT fraud detection into broader social engineering defense. As AI-driven scams become more sophisticated, the company is ready as a multi-channel security platform, helping organizations detect, prevent, and respond to threats across digital environments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
May 2025
$35m
SERIES B
Jan 2024
$14.4m
SERIES A
Total funding: $54.4m
Company benefits
- Health benefits: We’ve got your health covered, so you can focus on what matters.
- Flexible time off: Take the time you need, when you need it.
- Supporting Life's Biggest Job: Because family matters most, we offer paid time off for parents to bond, rest, and adjust to life’s biggest change.
- Perks for Office Days: We make getting to the office (and staying nourished) easier.
- Cell stipend: We make staying in touch a little easier.
- Home office setup: We'll take care of your home office, so you can take care of the work that matters.
Leadership
Kevin Tian
(Co-Founder & CEO)Kevin previously founded Ferryhome. Prior to that, he was a Staff Engineer & Engineering Manager at Lyft and Senior Software Engineer with Uber.
Rahul Madduluri
(Co-Founder & CTO)Prior to co-founding Doppel, Rahul was the Co-founder & CTO of YakPak and a Software Engineer at Uber.
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