Senior Machine Learning Scientist

<h4>WHO WE ARE 🌍</h4> <p>We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.</p> <p>With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.</p> <h4>WHO WE'RE LOOKING FOR 🌟</h4> <p>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 <span class="notion-enable-hover" data-token-index="1">Machine Learning Scientist</span> 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.</p> <h4>WHAT YOU'LL DO 🚀</h4> <ul> <li>Contribute to the development of Machine Learning and other AI products, working closely with stream-aligned product teams</li> <li>Support testing and monitoring strategies for ML/AI outputs to ensure reliability and accuracy</li> <li>Collaborate with the Data Platform team to improve model deployment, monitoring, validation, and governance processes</li> <li>Write clean, maintainable, and well-documented ML code and pipelines</li> <li>Participate in code reviews and knowledge sharing within the team</li> </ul> <h4>TO SHINE IN THIS ROLE 💥</h4> <ul> <li>4+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, or equivalent</li> <li>Demonstrated experience developing and deploying ML models throughout the product lifecycle.</li> <li>Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, Ray, Keras, Spark).</li> <li>Familiarity with modern DevOps practices and cloud infrastructure (AWS and Snowflake preferred).</li> <li>Practical experience with model testing, deployment, and monitoring.</li> <li>Strong collaboration and communication skills across cross-functional teams.</li> <li>Experience with generative AI and LLM models preferred, including prompt engineering and RAG applications</li> </ul> <h4>WHAT WE OFFER 🤗</h4> <p>We care deeply about your growth, well-being, and comfort:</p> <ul> <li>🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.</li> <li>💙 Comprehensive health insurance for both you and your family.</li> <li>📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.</li> <li>🫶 Flexible benefits package to tailor perks that matters most for you.</li> <li>🪴 Hybrid work and generous leave options to prioritize your work-life balance.</li> <li>🍽️ In-office perks, including free meals and snacks.</li> <li>🤝 Company-funded sport activities, annual offsites and team-building events.</li> </ul> <p><em>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.</em></p> <p><em>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.<br><br>With my application, I accept the Manychat&nbsp;<a href="https://manychat.com/legal/privacy">Privacy Policy</a>.</em></p>