
51 - 200 employees
Founded 2019
🔒 Cybersecurity
🔌 API
☁️ SaaS
💰 $32M Series B on 2021-11
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
🔥 4 minutes ago
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51 - 200 employees
Founded 2019
🔒 Cybersecurity
🔌 API
☁️ SaaS
💰 $32M Series B on 2021-11
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
• Develop data-driven algorithms for the Fingerprint Identification Service using ML techniques on raw, noisy, and unlabeled browser and device data • Lead supervised, semi-supervised, and unsupervised learning approaches to improve identification capabilities • Own data science projects end to end, from concept and experimentation through deployment into the real-time platform • Design experiments and solutions for real-time model inference and training pipeline automation • Conduct exploratory data analysis to investigate ad-hoc questions and anomalous data • Share tools and effective approaches to build an engineering-focused, data-driven culture • Participate in a shared on-call rotation
• 5+ years of experience across machine learning, data science, and backend development • Advanced foundations in machine learning and statistical methodologies • Strong experience with supervised learning, including gradient boosting and handling high-cardinality categorical data • Practical experience with semi-supervised and unsupervised learning techniques • Proficiency in exploratory data analysis and dataset collection and performance estimation without labeled data • Strong expertise in real-time ML service development, including real-time inference and model-to-service integration • Ability to turn ML models into MVP real-time web services • Excellent coding skills, including SQL, Git, CI/CD pipelines, IDEs, and shell scripting • Fluent English for clear communication in a global, remote team • Must be authorized to work from their home location • Nice to have: academic background and research mindset • Nice to have: backend development experience with Go • Nice to have: experience with ClickHouse, Snowflake, BigQuery, dbt, Apache Superset, Tableau, Looker, Pinecone, FAISS, Qdrant, and embedding-based search systems
• 100% remote work • Shared on-call schedule communicated in advance with equitable coverage and minimized off-hours disruption • Inclusive work environment • Visa sponsorship is not provided
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