• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner.
• Experience with feature synthesis and selection techniques to build models
• Solid understanding of regression, classification algorithms framework
• Apply machine learning techniques at scale on massive data sets
• Working with large language models (LLMs) for applications such as content summarization, recommendation, and personalization. Apply RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval.
• Experiment agentic AI framework to enhance personalization and automation.
• Prior work with model evaluation benchmarks and large-scale LLM testing frameworks.
• Experience with prompt fine-tuning techniques, LLMs optimization techniques(pre-training, post-training etc)
• Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units.
• Collaborate with data scientists across a variety of businesses to prioritize and promote our machine learning efforts.

• 2-4 years of data science experience with expertise in predictive analytics, 
• B.S., M.S. or PhD in Data Science, Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields or equivalent experience.
• Strong understanding of transformer-based architectures, embeddings, and tokenization techniques.
• Proficiency with LLM frameworks and APIs, such as LangChain, Hugging Face Transformers, OpenAI, Google Vertex AI (Gemini), or Anthropic Claude, coupled with expertise in evaluation and performance benchmarking
• Demonstrated ability to implement prompt engineering, fine-tuning, and evaluation for LLMs.
• Strong understanding of personalization and recommendation algorithms, including collaborative filtering (CF), content-based filtering, hybrid recommenders, sequence-based or session-based models, and graph-based models.
• Proficiency in using query languages such as SQL.
• Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow.
• This role is 5 days a week onsite at Internet Brands' headquarters in El Segundo, CA

At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to range from $100-120k and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply.
 
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
 
Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
 
Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
 
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra