Manychat is seeking a Senior Machine Learning Engineer to join their AI Core team. The ideal candidate will have expertise in ML algorithms, metrics, search, RAG, and agent design. They will design and deliver ML/LLM solutions end-to-end, build and iterate on AI agents, and work closely with the Python Platform team to productionize solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Who We Are 🌍
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.
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.
Who We're Looking For 🌟
Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.
This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.
What You’ll Do 🤖
- Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
- Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
- Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
- Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.
Machine Learning & LLM Expertise
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- Solid understanding of ML algorithms, metrics, search, RAG, and agent design.
- Experience with frameworks like LlamaIndex, LangChain, or similar.
- Hands-on tuning with PyTorch, TensorFlow.
- Experience with LLM evaluation and benchmarking.
- Strong Python engineering background, ideally three or more years in production environments.
- Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
- Familiarity with cloud environments and monitoring is a strong plus.
- Clear communication in English.
- Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
- Product mindset and comfort working in a fast-moving environment.
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
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.
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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