Machine Learning Engineer

1 day ago

Santa Clara, California, United States Eightfold Full time
About Eightfold

Eightfold AI is a pioneering company in the field of AI-powered talent intelligence, revolutionizing 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.

About the AI/ML Team

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

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
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
Pay Transparency

Please note this role is categorized as hybrid in Santa Clara, CA. The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones determined by location.

Zone A is in SF Bay Area, CA.

Base annual salary range: $144,000 to 169,000 + discretionary bonus up to 10% + pre-IPO equity (stock options).

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.

Equal Employment Opportunity

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.

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