Lead Machine Learning Scientist

WHO WE ARE 🌍

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

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

With 200+ teammates across international offices in Barcelona, Austin, Amsterdam, São Paulo, and Yerevan — Manychat helps businesses across the globe improve their ROI and grow faster.

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 Scientist to take on a technical leadership role of our ML and AI team, focusing on developing AI products – particularly around generative AI agents. Reporting to the Head of Data, you’ll collaborate closely with Product Managers, Engineering, and Data leaders, ensuring our AI solutions align seamlessly with product strategy and deliver business value.

WHAT YOU’LL DO 🤖

• Lead Applied ML Development: Drive end-to-end development of generative AI and other ML products, working closely with stream-aligned product teams.
• AI operations: Establish robust testing and monitoring strategies for generative AI outputs, ensuring reliability and accuracy.
• MLOps Advancement: Collaborate with the Data Platform team to enhance model deployment, monitoring, validation, and governance processes.
• Technical Leadership: Provide hands-on technical leadership, mentor team members, set best practices, and shape our AI technical roadmap.

WHAT YOU’LL BRING 💥

• ML Expertise: 6+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, or equivalent. Extensive experience leading the development and deployment of ML models across the full product lifecycle, in collaboration with Product and Engineering teams.
• Experience with GenAI: Prior experience with generative AI and LLM models is strongly preferred, including prompt engineering and RAG applications. Experience Deploying and scaling such models is a big plus.
• Technical Skills: Strong proficiency in Python, SQL, key ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, Ray, Keras, Spark, etc.), modern DevOps practices, and cloud infrastructure (AWS and Snowflake preferred).
• MLOps Knowledge: Hands-on experience improving ML lifecycle management (model testing, deployment, monitoring).
• Leadership & Communication: Effective leadership, mentoring, and cross-functional communication skills.

WHAT WE OFFER 🤗

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

• Candidates outside of Barcelona can start onboarding and complete the probation period remotely with further relocation to the city for a hybrid work format ( with free meals and snacks in the office).
• Relocation support through airplane tickets, accommodations for up to three weeks, and a relocation bonus.
• Professional development budget for relevant conference tickets, training programs, or courses.
• Flexible benefits plan to choose the perks that fit your needs.
• Health insurance, including dentistry, psychology sessions, nutrition consultations, surgery, and travel assistance

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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