Machine Learning Engineer, ManyChat

AI Core Team

Salary not provided

Docker

Python

Tensorflow

PyTorch

FastAPI

Pydantic

Junior, Mid and Senior level

Barcelona

More information about location

Chatbot marketing

Job no longer available

Chatbot marketing

201-500 employees

B2BMarketingSaaSSocial MediaAutomationSales

Job no longer available

Salary not provided

Docker

Python

Tensorflow

PyTorch

FastAPI

Pydantic

Junior, Mid and Senior level

Barcelona

More information about location

201-500 employees

B2BMarketingSaaSSocial MediaAutomationSales

Company mission

To help businesses grow by building meaningful relationships with their customers.

Job

Company

Role

Who you are

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
This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end
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

Top investors

-15% employee growth in 12 months

Glassdoor (4.6)

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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