Senior Machine Learning Engineer - GenAI, LLM, NLP

About The AI/ML Team

The AI/Machine Learning team is building industry-leading Machine Learning models for use cases at scale. You will develop next-generation technologies that are disrupting the $400 Billion HR Tech industry. In this team, you will push the boundaries of applied Machine Learning on challenging and huge datasets.

We're a fast-paced startup with a culture of innovation and collaboration. We are committed to providing our employees with the resources they need to push the boundaries of applied machine learning.

What You Will Do (or Learn To Do)

• Develop, train, and productionize cutting-edge ML models across all Eightfold products
• Build on top of Open Source Large Language Models to leverage a diverse dataset
• Apply innovative solutions from Generative AI
• Create industry best practices for Machine Learning in Recruiting and HR
• Help ensure equal opportunity for everyone by extending our internal model fairness platform
• Create innovative algorithms for Machine Learning & AI
• Implement best practices for building AI-enabled products
• Develop AI-based systems for Natural Language Processing (NLP)
• Optimize Machine Learning models for time efficiency, performance, cost, scalability, and accuracy
• Develop tools and processes for automatically training, updating, and evaluating Large Language Models
• Train and mentor junior Machine Learning Engineers

What You Bring

• BS/MS in Computer Science or Engineering
• Relevant work experience in Machine Learning (ML), Deep Learning, and NLP
• Experience with implementing production machine learning systems and working with large-scale datasets
• Strong knowledge of CS fundamental concepts and ML languages ( Python, C, C++, Java, R, and Scala, etc.)
• Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.)
• Understanding of data and/or ML systems with the ability to think across layers of the stack - REST APIs, microservices, data ingestion and processing systems, and distributed systems
• Passionate about delivering high-quality models

Nice to Haves

• Familiarity with GenAI, LLMs (large language models, transformers like BERT, GPT-3, T-5), etc.
• Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus
• Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow, and similar related technologies
• Experience with analyzing large data sets using Hadoop, Spark, or related technologies is a plus
• Ability to innovate, proven by a track record of software artifacts or academic publications in applied machine learning is a plus