About The Company

Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more.

Our mission is simple but bold: make the internet a safer place by outsmarting the world's fastest-evolving digital threats.

Backed by a16z and Bessemer and trusted by some of the world's most recognized brands (OpenAI, United Airlines, Coinbase, etc.), Doppel is growing fast. If you're driven to solve real-world problems with bold technology, we'd love to meet you.

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.

About The Role

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team at Doppel. In this role, you will be instrumental in developing, deploying, and maintaining machine learning models that detect and neutralize malicious digital activities. Your work will directly contribute to enhancing the security of online platforms by leveraging cutting-edge AI techniques.

You will collaborate closely with detection, infrastructure, and product teams to build scalable ML systems capable of processing vast amounts of data in real-time. The ideal candidate will have a passion for solving complex problems, a strong understanding of machine learning principles,



and experience working with large-scale datasets in production environments.

Qualifications

- Proven experience building and deploying machine learning models in production settings.
- Strong programming skills in Python, with experience using ML frameworks such as TensorFlow, PyTorch, or similar.
- Familiarity with large-scale data processing frameworks like Spark, Hadoop, or equivalent.
- Understanding of NLP, embeddings, similarity search, classification, and anomaly detection techniques.
- Experience working with real-time data streams and deploying models for low-latency inference.
- Excellent problem-solving skills and ability to translate complex threats into effective ML solutions.
- Strong communication skills and ability to collaborate across teams and with stakeholders.
- Degree in Computer Science, Data Science, or related field; advanced degrees preferred.

Responsibilities

- Design, develop, and deploy machine learning models for detecting malicious or infringing content across diverse data sources.
- Partner with detection and infrastructure teams to ensure ML systems are scalable and efficient as data volume grows.
- Implement models for various tasks including NLP, embeddings, similarity search, classification,



and anomaly detection.
- Monitor and evaluate model performance, making improvements to enhance accuracy and robustness.
- Translate real-world digital threats into machine learning problems and develop solutions accordingly.
- Collaborate with cross-functional teams to integrate ML models into the broader security platform.
- Stay updated with the latest advancements in machine learning and AI security to continuously improve detection capabilities.

Benefits Doppel offers a mission-driven culture characterized by low ego, high ownership, and a deep commitment to customer safety. We believe in fostering an environment where talent thrives and innovation is encouraged. Employees enjoy free lunch and dinner at the office, promoting a collaborative and social work environment. We also provide flexible paid time off to support work-life balance, along with quarterly team offsites to strengthen team cohesion and strategic alignment.

Joining Doppel means becoming part of a forward-thinking organization dedicated to making the internet a safer place through advanced AI technology and innovative solutions.

Equal Chance

Doppel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse perspectives and backgrounds foster innovation and drive our mission forward.

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