Live opening · Posted 9 days ago

Machine Learning Engineer - 2

Weekday (YC W21) · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyWeekday (YC W21)
LocationBengaluru, Karnataka, India (On-site)
Salary2M INR/yr - 3.5M INR/yr
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

This role is for one of our clients
Seniority level: Associate level
Industry: Technology, Information and Internet
Company Name: MyNaksh
Experience: 3+ yrs
Location: Bengaluru
Job Type: Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About This Role
We’re building AI that can form genuine, long-term relationships with people
For the first time in history, millions of people are building relationships with AI. MyNaksh is at the forefront of this shift, combining conversational AI across chat and voice with deep expertise in domains where people share highly personal parts of their lives
We started with astrology, where our 2M+ users tell us everything about their relationships, careers, families, ambitions, fears and day-to-day lives. Over time, this gives us something extremely rare: rich, longitudinal data that allows us to understand people as evolving individuals rather than as isolated interactions
Historically, the ability to build this depth of understanding about millions of individuals was a moat reserved for companies like Google and Facebook. We believe that is changing. The next generation of AI products will be defined not just by how intelligent the underlying model is, but by how deeply the AI understands each individual and how well it can build a relationship with them over time
Our ambition is to use what we’ve built in astrology as a foundation for AI that can build relationships across domains - from matchmaking and companionship to other deeply personal and professional use cases
For a Machine Learning Engineer, this means working on some of the hardest problems at the intersection of AI, personalization and human relationships: building models that understand users deeply, learn from long-term interactions, develop persistent context and deliver increasingly personalized conversations at scale
This is in our opinion the most exciting work in frontier AI today - figuring out how AI learns to know a person, and how that person can trust our AI more than anyone else in their world
What You’ll Do
Build and own production-grade ML/AI systems end-to-end
Develop LLM, RAG, conversational AI, and agentic workflows
Work on personalization, memory, recommendations, and user intelligence
Build LLM orchestration, evaluation, and optimization systems for quality, latency, and cost
Combine structured astrology intelligence with ML, retrieval, and LLM reasoning
Work closely with Product, Backend, and other teams to ship impactful features at scale
What We’re Looking For
3–5 years in ML, Applied ML, NLP, or GenAI engineering
Strong Python and software engineering fundamentals
Hands-on experience with LLMs, RAG, embeddings, vector search, or conversational AI
Experience deploying ML/AI systems to production
Strong understanding of ML fundamentals, evaluation, APIs, system design, scalability, and cloud
Ability to own problems end-to-end: design → build → evaluate → production
Good to Have
LangChain/LangGraph, vector databases, Hugging Face/open-source LLMs, MLOps/LLM evaluation, recommendation systems, or Indic/multilingual NLP.
About The Company
MyNaksh is India's fastest-growing AI astrology platform. - raised :$2M in VC funding - 1M MAUs - $2M in ARR All in :7m since launch, focusing on building trust and offering mass India world-class experiences. Next 6m hyperscale phase > 10M MAUs, $15M ARR, going global + adjacent markets.
Must-have skills
Machine Learning, Conversational AI
Good-to-have skills
LLM, B2C

Work arrangement
No

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