Overview
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 are 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. 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 join our ML squad, focusing on developing ML products. Reporting to the Head of Data, you’ll collaborate closely with the rest of the ML squad and Data teams, driving our ML solutions.
Responsibilities
* Contribute to the development of Machine Learning and other AI products, working closely with stream-aligned product teams
* Support testing and monitoring strategies for ML/AI outputs to ensure reliability and accuracy
* Collaborate with the Data Platform team to improve model deployment, monitoring, validation, and governance processes
* Write clean, maintainable, and well-documented ML code and pipelines
* Participate in code reviews and knowledge sharing within the team
Qualifications
* 4+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, or equivalent
* Demonstrated experience developing and deploying ML models throughout the product lifecycle
* Proficiency in Python, SQL, and ML frameworks (e.G., TensorFlow, PyTorch, XGBoost, Ray, Keras, Spark)
* Familiarity with modern DevOps practices and cloud infrastructure (AWS and Snowflake preferred)
* Practical experience with model testing, deployment, and monitoring
* Strong collaboration and communication skills across cross-functional teams
* Experience with generative AI and LLM models preferred, including prompt engineering and RAG applications
Benefits
* 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 matter 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
We are an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual orientation, pregnancy, national origin, ancestry, citizenship, age, marital status, physical or mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
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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