Workhuman · 2 weeks ago
NLP Data Scientist
Workhuman is dedicated to bringing more humanity to the workplace, and they are seeking an NLP Data Scientist to develop innovative AI solutions. In this role, you will contribute to building advanced machine learning and NLP models, ensuring ethical considerations are addressed while driving business value.
Human ResourcesSaaSSoftware
Responsibilities
Design and deploy advanced machine learning and NLP models that power Workhuman’s AI products
Collaborate with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers to build scalable and efficient solutions
Experiment with the latest NLP techniques and frameworks to continuously improve AI capabilities
Participate in efforts to address ethical, bias, and fairness considerations in AI, ensuring compliance and equity in all solutions
Qualification
Required
Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role
Experience with generative AI and chatbot product development, ideally with frameworks like LangChain and LLamaIndex
Knowledge of NLP techniques, such as text classification, sentiment analysis, and sequence tagging
Proficiency in Python programming and familiarity with NLP/ML toolkits like Sklearn, Gensim, Spacy, and NLTK
Experience with vector database technologies (e.g., pgvector, Pinecone) and deep learning frameworks (e.g., TensorFlow, PyTorch)
A collaborative and solutions-oriented approach to problem-solving in dynamic environments
Strong communication skills, with the ability to convey technical concepts to non-technical audiences
Company
Workhuman
Workhuman® is the world’s fastest-growing integrated Social Recognition® and Continuous Performance Management platform.
Funding
Current Stage
Late StageTotal Funding
$131.48MKey Investors
Intermediate Capital GroupAtlas Venture
2020-06-23Secondary Market· $122.18M
2006-01-01Series Unknown
2004-10-05Series B· $9.3M
Leadership Team
Recent News
2025-12-18
2025-11-25
2025-10-31
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