About the job
Job Location: Santa Clara, CA (This is NOT a remote position )
About Eightfold
Eightfold AI is the industry leader in AI-powered talent intelligence and transforming the way organizations manage their talent. Our AI-powered Talent Intelligence Platform™ helps companies identify, attract, and retain top talent, while also providing employees with the tools they need to grow and succeed in their careers. Join us in shaping the future of work!
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.
Responsibilities
- 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
Qualifications
- BS/MS in Computer Science or Engineering
- Good foundation in Machine Learning (ML), Deep Learning, and NLP
- Familiarity with GenAI, LLMs (large language models, transformers like BERT, GPT-3, T-5), etc.
- Strong knowledge of CS fundamental concepts and ML languages ( Python, C, C++, Java, R, and Scala, 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
- Relevant work experience with ML/AI algorithms, tools, Deep Learning, or NLP
- Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.)
- Experience with implementing production machine learning systems and working with large-scale datasets is a plus
- 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
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