Machine Learning Engineer (IT-719)

Description

Senior Machine Learning Engineer

We're in search of a seasoned ML Engineer to spearhead innovative projects as an individual contributor. You’ll get to dive deep into cutting-edge technology where you'll tinker with LLMs and Agents for enterprises, building autonomous Agents leveraging best in class LLMs, Agentic RAGs and incept new workflow automation systems.

You will be responsible for developing production-ready inference pipelines, managing model deployment and versioning, and ensuring effective validation processes. You'll also be working hand in hand with cross-functional teams in product and engineering to shape our machine learning products, bringing a synthesis of innovation and pragmatism, while ensuring alignment with customer interests and best practices.

Required qualifications

- 8+ years of work experience
- Bachelors/Masters/PhD in Computer science
- Deep expertise working as a machine learning engineer or similar role, focusing on NLP.
- LLMs and related tooling: e.g. RAGs, Agents
- Demonstrated experience building, evaluating and testing machine learning models
- Led deploying and managing ML models in a production setting
- Strong programming skills with proven experience implementing Python-based solutions using good software engineering design practices
- Experience designing and evaluating ML A/B tests
- Previous experience at a high-growth, fast-paced VC-backed startup, or tech lead position at a larger organization

Post Sales Tooling Market is Ripe for Disruption

Our vision is to be the only AI platform needed for every B2B Customer Workflow. Recent advances in LLMs (Large Language Models) enable combining unstructured data generated from multi-channel customer engagements (zoom calls, email, support tickets etc.), with product usage data to generate unique insights. Statisfy’s Customer Agent automates large parts of customer engagement and creates healthy, growing customers. We are going after a massive market opportunity to replace existing legacy applications, consolidate post-sales tooling budgets with an AI-Native approach, and make Account Managers, Customer Success Managers and Technical Account Managers at B2B companies more efficient and effective.

The Opportunity

We are initially targeting a $1B+ North America Addressable Market comprising B2B Software Companies. Subsequently, we will pursue +$1B opportunity in Europe/APAC.

Why Statisfy

Statisfy is not just another startup. It is founded by 2X entrepreneur, Munish Gandhi , who raised over $70M for his previous start-up Productiv and Navin Agarwal , who was the founding engineer at The Yes, a start-up acquired by Pinterest for $300M+ within 5 years of its founding. The inspiration for Statisfy came from Munish’s experience leading the post-sales function at his previous company Productiv. Munish found that most Post-Sales leaders were frustrated with the lack of standardized post-sales processes and ineffective tools to drive team productivity and business results. Munish’s insights around building the right post-sales processes and tooling combined with Navin's deep expertise in machine learning across large data-sets, makes them the perfect founding team to pursue Statisfy’s vision.

Backed by Emergent and Tau Ventures (premium Early Stage VC firms) and Founders of several AI first companies including Eightfold, Regie, Olto and Vareto, Statisfy has the vision, the expertise, and the financial backing to disrupt the post-sales tooling market.

Working at Statisfy

We are a mission and values-driven company. Our core values define how we operate, how we prioritize, and how we relate to each other. We are on a mission to drive transformative industry-level change. We are decisive, deliberate and accountable. We are customer-obsessed, empathetic individuals who live up to the highest ethical standards. Above all, we are humble and seek joy and camaraderie at work. And we are remote first. Come join us and jam with us!