Senior Machine Learning Engineer - ManyChat

WHO WE ARE 🌍

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, TikTok, Facebook Messenger, WhatsApp, and more.

Trusted by over 1 million brands in 170+ countries, we're an official Meta Business Partner, backed by top investors, including Summit Partners and BVP.

With 300+ teammates across international offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam — Manychat helps creators and businesses across the globe grow faster, engage better and sell more on social and messaging apps.

WHO WE'RE LOOKING FOR 🌟

Manychat automates millions of conversations each day, helping to build connections and drive value for over a million creators and businesses around the world. We're seeking an experienced Machine Learning Engineer to join our ML and AI squad, and help us translate our rich data into helpful, delightful, and valuable user experiences.  

Reporting to the Head of Data, you’ll work closely with ML scientists and Data engineers to translate ML and AI models into reliable, scalable machine learning solutions. This is a high-impact role that blends engineering excellence with Machine Learning innovation.

WHAT YOU'LL DO 🚀

• • Design, develop, and deploy ,in collaboration with ML Scientists and Data Engineers, production level machine learning models and AI applications.
  • Ensure scalability, efficiency, and accuracy of deployed ML and AI models 
  • Evaluate potential architecture solutions and tooling.
  • Maintain clean, reproducible, and scalable ML code and pipelines.
  • Drive a strong MLOps culture standardizing best practices for CI/CD, model governance, observability, and reliability
  • Participate in code reviews and knowledge sharing within the team

WHAT YOU’LL BRING 💥

• 6+ years of proven experience as a Machine Learning Engineer, or equivalent.
• Highly proficient in Python, and good knowledge of SQL. An additional strongly typed language is a plus.
• Demonstrated experience in the principles of ML.
• Experience building, testing, deploying, monitoring, and maintaining ML in production.
• Cloud and data infrastructure experience (e.g., AWS, Snowflake, Sagemaker, Redis)
• Experience in integrating new Machine Learning tooling, core frameworks (e.g. PyTorch/TensorFlow), orchestration (e.g. Airflow), and containerisation (e.g. Docker/K8s).
• Experience in building MLOps tooling and processes.
• Track record of project leadership, cross-team collaboration, and coordination with Product Managers and Engineering teams.
• Bonus points for knowledge and experience in building, testing, deploying, monitoring, and maintaining LLM models (Prompt engineering, RAG, Fine tuning, LLM ops tooling). 

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

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