Senior Machine Learning Engineer

Overview

Job Description

Responsibilities

• - Collaborate with the Smart Signals Product team to enhance the quality of existing smart signals, including Browser bot and VM detection, VPN detection, Incognito detection, and Tampering/Spoofing detection using data science and machine learning algorithms
• - Develop new smart signals by creating real-time ML-based services that analyze large volumes of raw data to gain insights about devices
• - Foster a data-driven culture within the Fingerprint team by sharing tools and knowledge on effective data science approaches

Required Skills

• - Proficient in English for clear verbal communication within an international remote team
• - BS/MS in Computer Science or related field, or equivalent work experience
• - 3+ years of demonstrated experience in Machine Learning Engineering, Data Science, and Backend Development
• - Strong foundation in Machine Learning and Mathematical Statistics for performing offline and online experiments
• - Proficient in Supervised Learning for column-based data
• - Experience with Semi- and Unsupervised Learning for problems lacking reference labeling
• - Skilled in Exploratory Data Analysis to investigate ad-hoc questions and explain anomalous data
• - Creative in collecting datasets and estimating ML algorithm performance without reference labeling
• - Excellent SQL and coding skills
• - T-shaped backend engineering skills for independent end-to-end ML service development
• - Expertise in ML-related engineering challenges, such as real-time model inference, creating services from models, and training pipeline automation
• - Broad backend engineering expertise to develop MVP real-time web services from ML models
• - Proficiency with general software engineering tools: git, IDE, shell, CI/CD

Benefits

• - Inclusive work environment
• - Competitive salary
• - Flexible remote work location
• - Backing by prominent venture partners