Machine Learning Engineer - Prachub (Early-stage Startup)
Description:
Job Description
About Us
Prachub is an early-stage startup making tech interview prep more transparent and accessible. We curate real interview experiences, provide in-browser SQL & coding practice, and build resources across SDE, Data, PM, and more.
Now, we’re looking for our first Machine Learning Engineer to join the founding team. You’ll help us explore and build AI-powered features that make interview prep smarter and more personalized.
To be considered for this role, please include a short cover letter sharing your thoughts on how Prachub could be improved.
Our website:
What You’ll Do
Design and implement ML/AI features to improve interview prep (e.g., automated feedback on coding, question difficulty ranking, personalized learning paths).
Build and fine-tune models for NLP tasks such as question classification, semantic similarity, and answer evaluation.
Collaborate with engineers and products to integrate ML into core workflows.
Set up scalable pipelines for training, evaluation, and deployment.
Research and prototype with LLMs and generative AI to enhance user experience.
Lay the foundation for a long-term AI/ML roadmap at Prachub.
What We’re Looking For
Degree in CS, Data Science, or related field (or equivalent experience).
1+ years of ML/AI experience (internships/projects count).
Strong skills in Python + ML frameworks (PyTorch, TensorFlow, HuggingFace, LangChain).
Experience with NLP, recommender systems, or generative AI.
Familiarity with cloud platforms (AWS/GCP/Azure) and deployment pipelines.
Bonus: experience integrating AI into production-facing apps.
Startup mindset: resourceful, scrappy, comfortable wearing multiple hats.
Why Join Us?
Impact: Your models will directly shape how thousands of students prepare for interviews.
Ownership: First ML hire — you’ll set the technical direction and best practices.
Mission-driven: Help level the playing field in tech recruiting by making prep fairer and more accessible.
Growth: Be part of an early team with opportunities to grow into leadership as we scale.
Full-time