About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

As Our AI Engineer, You Will:

• Assist in the development, training, and fine-tuning of machine learning (ML) models.
• Work with large datasets, including data cleaning, preprocessing, and feature engineering.
• Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Support research and development of AI applications in natural language processing (NLP) and predictive analytics.
• Collaborate with software engineers to deploy and integrate AI models into production environments.
• Conduct experiments, analyze results, and enhance model performance.
• Stay updated with the latest advancements in AI and machine learning.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Basic understanding of machine learning algorithms and deep learning models.
• Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch).
• Familiarity with data processing libraries like Pandas, NumPy, and the regular expression.
• Understanding of model evaluation techniques and performance metrics.

Bonus Points If You:

• Experience with NLP (Hugging Face Transformers, spaCy).
• Exposure to cloud AI services (AWS SageMaker, Google Vertex AI, Azure AI).
• Knowledge of MLOps practices, including CI/CD for ML models.
• Familiarity with AI ethics, bias detection, and model interpretability.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.