Machine Learning Engineer, ManyChat
AI Core Team
Chatbot marketing
Be an early applicant
Chatbot marketing
201-500 employees
Be an early applicant
201-500 employees
Company mission
To help businesses grow by building meaningful relationships with their customers.
Role
Who you are
- This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end
- 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
What the job involves
- 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
- 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
Our take
Over 80% of businesses currently use chatbots to provide a variety of automated services to customers. However, chatbots are generally uniform and provide standardised responses, unless the business staffs a chatbot programmer.
ManyChat provides a platform for the creation of customised chatbots without needing any experience in coding. The startup focuses on providing small businesses with opportunities to equip the messaging services of their Facebook and Instagram business pages with automotive customer service tools.
The company has grown a huge customer base of over a million businesses, powering more than a billion conversations annually. Although there is tough competition in this field, including new AI chatbots arriving on the market, ManyChat enjoyed a Series B round in 2025, which will be used to expand its market reach. A focus on ease of use and code-free customisation will likely ensure its ongoing popularity.
Steph
Company Specialist at Welcome to the Jungle
Insights
-15% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2025
$140m
SERIES B
Apr 2019
$18m
SERIES A
Total funding: $163.2m
Company benefits
- An opportunity for rapid personal and professional growth
- Uncapped Commission + Equity
- Generous time off policy to balance your work and life, including paid parental leave
- Competitive medical, dental, and vision coverage for you and your dependents
- Annual wellness reimbursement
- Collaborative, transparent, and fun-loving office culture
- We pay for relevant conference tickets, training programs, courses, and any necessary literature
Company HQ
Old Palo Alto, Palo Alto, CA
Leadership
Mikael Yang
(Co-Founder & CEO)Studied at State University before co-founding ManyChat in July 2015. Has been CEO ever since.
Salary benchmarks
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