Machine Learning Engineer

at  Hypertype

We are looking for a dynamic and innovative Machine Learning Engineer to join our team. This role is ideal for someone who thrives in a startup environment and is passionate about developing cutting-edge AI solutions. As a Machine Learning Engineer, you will work collaboratively with cross-functional teams to drive our AI initiatives forward.

COMPANY DESCRIPTION

Hypertype is an AI-powered text based communication platform that finds the most relevant information and writes smarter customer emails & live chats, using real-time company data.
305 billion emails sent and received every single day. We live in an information overload era, with ever-changing customer scenarios to process and answer. Customer facing roles still spend 20-30 mins just to find the right answers and draft high quality email, connecting the dots from millions of data sitting inside their company. Our vision is to make the smartest experience for customer communications with data.
Only a single digit % of SMEs has adopted AI in their customer facing teams. We have over 200 paying companies including Mynt, Yazen, Remote and many more.
Our customers proudly recognize us for delivering the “highest quality answers in the market… outsmarting Gemini, Fin, Microsoft Copilot etc”. —a testament to our unwavering commitment to excellence and precision in every interaction.
Join us on our mission to build the world’s smartest and most accurate AI brain across customer domains and beyond. If you’re driven and ready to contribute to something groundbreaking, this is your chance to be part of a mission that is setting new industry standards.

QUALIFICATION

• You have ample experience in in building machine learning pipelines and / or information retrieval systems and are up to speed on latest in NLP & LLMs.
• You have experience in developing POC and MVP to facilitate the successful establishment of customer partnerships and the closing of deals.
• You have applied knowledge of A/B testing for model evaluation
• Versatile Software Engineering Skills: A solid engineering background with a robust foundation in software engineering principles. You have written code for and supported production engineering systems.
• Proficient in Python and experience with GCP: our AI stack uses Python, Hugging Face, PyTorch & Elasticsearch and is deployed on GKE.
• You care about delivering true business value and solving RAG challenges at the same time.
• A Solid Educational Foundation: Bachelor’s degree in Machine Learning, Computer Science or related field; Master’s degree is a plus.

• Developing new product experiences using NLP & LLMs and working closely with customers to understand their needs and ensure successful implementation.
• Implementing and shipping state-of-the-art information retrieval systems and search algorithms, with high impact metrics
• Improve the quality and accuracy of answers from omni- data sources and format, by incorporating the best data and features to improve AI suggested answers.
• Prompt engineering and fine-tuning to improve the quality of customer communications for different scenarios.
• Collaborating with cross-functional teams to align technical decisions with business goals and co-develop ML roadmap.
• Designing, developing, and maintaining scalable APIs for integrating new data sources.
• Collaborate with frontend developers to ensure APIs are efficient, well-documented, and deliver the necessary data for UI/UX components.
• Troubleshooting and resolving data-related issues, ensuring continuous data flow and minimal downtime.
• Identifying opportunities for performance improvements and proactively implementing solutions to improve the data architecture.
• Rapidly integrating new data sources to support POCs and MVPs, working closely with co-founders and the sales team to offer technical expertise throughout the sales process