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.
About Team - The AI/Machine Learning team spearheads the creation of the industry's leading machine learning models for large-scale use cases. This team also pushes the boundaries of applied machine learning and state-of-the-art generative AI techniques, using diverse and challenging datasets. The successful candidate will have the opportunity to be at the forefront of Responsible AI and will work closely with the Fairness and Compliance pod, devoted to the development of a fairness-evaluating framework for our AI systems.
Our company seeks a skilled Data Scientist to join our AI/Machine Learning team, specifically working in the Fairness and Interpretability pod.
Responsibilities:
1. Design and develop machine learning models that deliver valuable insights from data.
2. Help in creating a framework to evaluate and monitor our AI systems for fairness.
3. Work on complex and diverse datasets to solve challenging analytical problems.
4. Use statistical inference to find patterns and make predictions on data.
5. Be an active participant in pushing the boundaries of applied Machine Learning and Responsible AI development.
Requirements:
1. Previous experience as a Data Scientist, Senior Data Scientist, Data Analyst, or Data Science Consultant.
2. Proficiency in statistics, machine learning, deep learning, and statistical inference.
3. Experience with ML interpretability.
4. Competency in Python programming language.
5. The ability to work on a team and independently.
6. Strong communication and presentation skills, providing complex information clearly and concisely.
7. A keen interest in fair AI practices, and the ability to adhere to these.
We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in the work you are doing and see the positive impact of your work on your colleagues, our customers, and the world. We believe in providing transparency and support, so you can do the best work of your career.
Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.