[HCM] Senior Machine Learning Product Engineer

Why Join Us?

We are building AI-powered systems that help enterprises interact, learn, and automate intelligently. As a Senior ML Product Engineer, you will lead the design and development of user-facing and internal tools that make machine learning models usable, observable, and explainable.

You will bridge the gap between cutting-edge ML research and real-world applications — creating intuitive annotation systems, evaluation dashboards, and interactive prototypes that bring AI to life for internal teams and enterprise users.

This role blends product intuition, full-stack engineering, and system design, giving you end-to-end ownership of tools that accelerate how AI products are built, tested, and deployed.

What You’ll Do

• Lead the design and development of interactive ML tools such as annotation systems, model evaluation dashboards, and data feedback platforms.

• Architect and implement scalable full-stack applications that connect ML systems to real-world user workflows.

• Collaborate with ML Engineers, Data Scientists, and Designers to define human-in-the-loop workflows improving model transparency and quality.

• Translate research outcomes and experiments into product prototypes or developer tools for rapid validation.

• Define technical direction for frontend and backend systems supporting ML-driven products.

• Ensure reliability, usability, and security standards across all internal and external ML tools.

• Mentor junior engineers and establish best practices for UI architecture, testing, and integration.

• Collaborate with global engineering teams to align cross-platform tooling and product initiatives.

What We’re Looking For

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• 3+ years of experience in full-stack, product, or frontend/backend development.

• Strong programming skills in JavaScript/TypeScript and Python.

• Experience with modern web frameworks (React, Vue, or similar).

• Experience developing backend APIs and microservices (FastAPI, Flask, or similar).

• Proven ability to design end-to-end user experiences for data- or ML-centric products.

• Excellent communication and teamwork skills, with strong English proficiency.

Preferred Qualifications

• Experience building annotation, labeling, or model evaluation tools.

• Familiarity with ML systems, model inference APIs, or experimentation platforms.

• Proficiency in data visualization (Dash, Plotly, D3.js, or similar).

• Understanding of CI/CD pipelines and cloud deployment (AWS/GCP).

• Experience leading design reviews and cross-functional technical projects.