Job Requirements About Phenom: Phenom is a global HR-tech platform delivering AI-powered talent experiences for candidates, employees, recruiters, and hiring managers. Our mission is to help a billion people find the right job. At Phenom, you will work with cutting-edge technologies, modern UI frameworks, and a world-class engineering team. Role Overview We are seeking a high-caliber Machine Learning Engineer to join our Data Science & Algorithms team. The ideal candidate is a seasoned engineer with a deep mastery of Python and the mathematical foundations required to build world-class AI models. You won’t just be tweaking scripts; you will be designing, productionizing, and scaling sophisticated algorithms for Information Extraction and Probabilistic Matching. If you thrive at the intersection of rigorous research and high-scale software engineering, you’ll be a key player in our mission to help a billion people find the right job. The Opportunity Join our Data Science & Algorithms team as a core contributor building the engine that powers our platform. In this role, you won't just build models in a vacuum; you will work alongside PhD-level scientists and veteran engineers to solve "unsolved" problems in information extraction and probabilistic matching. This is a high-impact position where your code directly influences our product’s evolution and scales to meet the demands of a rapidly growing global user base. What You Will Do • Architect & Innovate: Design and deploy sophisticated ML models, focusing on Information Extraction and Probabilistic Matching to unlock value from complex datasets. • Scale for Growth: Take existing algorithms and re-engineer them for massive scale, ensuring our platform remains performant as data volume surges. • Bridge Research & Production: Translate the latest breakthroughs in NLP and Deep Learning into tangible product features and new user experiences. • Collaborate Broadly: Act as a technical linchpin between PhD Scientists, Data Engineers, and Product Management to tackle challenges head-on in an agile, fast-paced environment. • Shape the Future: Participate in strategic discussions to influence the long-term roadmap of our data-driven services. What You Bring • The Foundation: 4–7 years of industry experience with a BTech, MS, or PhD in Computer Science, Information Systems, or a related technical field. • The Toolkit: Advanced proficiency in Python, Java, and Scala. You are a solid engineer who writes production-ready code. • Mathematical Rigor: A deep-rooted understanding of statistics, probability, and advanced data analytics. • Domain Expertise: Proven experience with NLP algorithms and Deep Learning frameworks, specifically applied to Information Extraction. • Big Data Fluency: Hands-on experience building and productionizing end-to-end systems using Spark, Kafka, or Hadoop. Why You’ll Love It Here • Startup Velocity: Skip the red tape. We move fast, value agility, and focus on having fun while we build. • Unmatched Exposure: Work directly with our Executive Leadership team and world-class ML PhDs. • Rapid Growth: We offer a steep learning curve and the chance to take ownership of massive projects early on. • Rewards: Competitive startup salary and the opportunity to be part of a future industry leader.