Machine Learning Intern

ClearFeed is building the next generation of Helpdesk software for companies that love Slack and MS Teams. Our software powers customer and employee-facing helpdesks at many leading technology firms like Unity3D, UltraHuman and Atlan Data. ClearFeed converts Enterprise chat systems to a Helpdesk, integrates them with other Enterprise systems like Zendesk, Jira and Clickup and provides a powerful AI Assistant to enable Support teams to be much more efficient.

Located in the dynamic city of Bangalore, our team is known for its welcoming atmosphere, dedication to innovation, and is supported by industry leading venture capital firms like Peak XV, 8VC, and renowned Angels from Silicon Valley.

Why ClearFeed?

Impactful Mission: Join us in solving a significant challenge that affects businesses worldwide.
Experienced Leadership: Collaborate with founders who have a track record of scaling businesses and crafting notable products.
Strong Foundation: Supported by Peak XV and top-tier Silicon Valley angels, we're set on a path of significant impact and growth.
Core Team Opportunity: Work closely with the founders, playing a pivotal role in the direction and success of the company.
Career Growth: Be part of a fast-growing company, with ample opportunities to develop your skills and advance your career.
Diverse Role: Engage in a multifaceted position that encompasses responsibilities often found in specialist roles at larger companies.

We are looking for ML/NLP interns to join our growing team. Our product is based on analyzing conversations and NLP is at the heart of it. As an ML intern, you will work on cutting edge NLP technologies for applications involving semantic search, text classification, and generative AI.

Internship Period: 6 months

Qualifications:

1. 2025 graduates from B.Tech or similar course with CGPA of 7.5 and above
2. Proficiency in Python and a good understanding of OOP and async programming.
3. Experience building applications in Python using frameworks like Flask and Fastapi
4. A solid foundational understanding of basic concepts in Machine Learning and Deep Learning.
5. A good understanding of the LLM space — familiarity with the OpenAI APIs, engineering high quality prompts, using vector embeddings, and working with vector databases.
6. Previous work in using and deploying open source LLMs, and finetuning them will be a big plus

Primary job responsibilities

• Implement systems to extract and process data from various systems including web crawlers and REST apis.
• Building benchmark datasets for various downstream evaluations.
• Build LLM-powered applications like tool calling, automated answers, classification etc.
• Write unit and integration tests for Python apps.