Product Development Engineer II - Machine Learning

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.

Skills Required
Spark, Scala, Kafka, Java, Python, Hadoop