Senior Machine Learning Engineer - GenAI, LLM, NLP

About EightfoldEightfold 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 TeamThe 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 productsBuild on top of Open Source Large Language Models to leverage a diverse datasetApply innovative solutions from Generative AICreate industry best practices for Machine Learning in Recruiting and HRHelp ensure equal opportunity for everyone by extending our internal model fairness platformCreate innovative algorithms for Machine Learning & AIImplement best practices for building AI-enabled productsDevelop AI-based systems for Natural Language Processing (NLP)Optimize Machine Learning models for time efficiency, performance, cost, scalability, and accuracyDevelop tools and processes for automatically training, updating, and evaluating Large Language ModelsTrain and mentor junior Machine Learning EngineersWhat you bringBS/MS in Computer Science or EngineeringRelevant work experience in Machine Learning (ML), Deep Learning, and NLPExperience with implementing production machine learning systems and working with large-scale datasetsStrong 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 systemsPassionate about delivering high-quality modelsNice to HavesFamiliarity 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 plusFamiliar with Spark, MLLib, Databricks MLFlow, Apache Airflow, and similar related technologiesExperience with analyzing large data sets using Hadoop, Spark, or related technologies is a plusAbility to innovate, proven by a track record of software artifacts or academic publications in applied machine learning is a plusPay TransparencyPlease 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: $155,000 to 182,000 + discretionary bonus up to 15% + preIPO 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.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.#HybridDepartment:Engineering