Director of Machine Learning

About Us

Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry’s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers.

To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be!

You may want to refer to the media coverage on TechCrunch and Reuters. Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google.

Our customers- https://eightfold.ai/customers/customer-stories/

Press- https://eightfold.ai/about/press/

About AI Platform Team

The AI Platform team is building the industry leading Machine Learning platform for Eightfold’s Data Scientists, Machine Learning Engineers and Product Engineers to easily and quickly apply Machine Learning to a diverse set of use cases at scale. This team is also responsible for pushing the boundaries of applied Machine Learning on a challenging and diverse dataset.

What you will do (or learn to do)

• You will be owning, training, building and deploying cutting edge deep learning models across all Eightfold products, end to end.
• You will collaborate on various ideas and ensure that there is a highly reliable, world class platform to run ML models on.
• You will help build high performance and flexible infrastructure and services that can rapidly evolve to handle new technologies, techniques and modeling approaches
• You will implement and operate an intuitive, easy to use and flexible ML development framework.
• Build data pipelines that are able to generate structure from unstructured data
• Create industry best practices for Machine Learning in Recruiting
• Own building and deploying cutting edge deep learning models across all Eightfold products
• Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform
• Work with various product teams to apply deep learning as relevant

What you should already know

• Strong foundation in Machine Learning (ML), Deep Learning, and NLP
• Hands-on experience in applying Natural Language Processing solutions to challenging real world problems.
• Ability to work cross functionally & interface with data science experts across Eightfold customer base
• Familiar with Language models, transformers like BERT, GPT-3, T-5 etc.
• BS or MS or PhD degree in Computer Science, Data Science or Mathematics
• Exceptionally strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. )
• Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.
• Prior experience building and deploying machine learning models in production at scale
• Understanding of data and/or ML systems with ability to think across layers of the stack - REST APIs, microservices, data ingestion and processing systems, and distributed systems.
• Extensive experience with scientific libraries in Python (numpy, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.).
• Experience of implementing production machine learning systems, working with large scale datasets and solid understanding of machine learning theory.
• Metrics-focused and passionate about delivering high quality models.
• Experience with analyzing large data sets, using Hadoop, Spark

Nice To have

• Experience with real-time technology problems
• Familiar with Pandas / Python machine learning libraries
• Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
• Familiar with a cloud based environment such as AWS
• Familiarity with MLOps tools and pipelines (MLflow, Metaflow).