Product Development Engineer II - Machine Learning

Job Requirements

Phenom Intro:

Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 2,000 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!

Position Summary

• Were looking for a Machine Learning Engineer III to join our team at Phenom. We are expecting the below capabilities to fulfill this role:
• Capable of building accurate machine learning models
• Strong foundation in Linear Algebra, Applied Statistics, and Probability
• Experience in building data models and data algorithms
• Detailed understanding of NLP
• Hands-on experience with Generative AI (GenAI) models and AI Agents (Autonomous/Conversational Agents)
• Good understanding of multithreaded and object-oriented software development
• Strong mathematical foundation (Mathematics, Mathematics, and Mathematics)
• Collaborate with Data Engineers to prepare data models required for machine learning models

Collaborate with product teams to apply state-of-the-art AI methods including dialogue systems, NLP, information retrieval, recommendation systems, and GenAI-driven solutions

• Build large-scale software systems and work on numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Mentor more than one MLE I

• Looking for talented engineers with strong interest in Machine Learning, Data Science, and emerging GenAI technologies
• Build amazing products and shape the future of our platform
  What Youll Do
• Design and implement machine learning, information extraction, probabilistic matching algorithms, and models
• Research and develop innovative, scalable, and dynamic solutions to complex problems
• Develop and optimize GenAI-powered applications and AI Agents (e.g., conversational AI, copilots, automation agents)
• Work closely with Machine Learning Scientists (PhDs), ML Engineers, Data Scientists, and Data Engineers

• Use the latest advances in NLP, data science, machine learning, and Generative AI to enhance products and create new experiences
• Scale machine learning algorithms powering our platform to support growing customer data and usage
• Be a key contributor in shaping the future of our products and services
• Collaborate with Product Management and cross-functional teams
• Be part of a fast-paced, fun-focused, agile team
  What Youve Done
• 4-6 years of industry experience
• PhD/MS/BTech in Computer Science, Information Systems, or a related technical field
• Strong foundation in mathematics, statistics, and data analytics
• Solid coding and engineering skills with a focus on Machine Learning
• Proficient in Java, Python, and Scala
• Proven experience building and productionizing end-to-end ML systems

• Hands-on experience with Generative AI (LLMs, prompt engineering, fine-tuning, RAG, etc.) and AI Agents frameworks
• Knowledge of Information Extraction, NLP algorithms, and Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka, etc.

We want you to be your best self and to pursue your passions!

• Health and wellness benefits/programs to support holistic employee health
• Flexible hours and working schedules, as well as parental leave for new parents
• Growing organization with career pathing and development opportunities
• Tons of perks and extras in every location for all Phenoms!

Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed.

We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere.