Senior Machine Learning Scientist, ManyChat

Salary not provided

SQL

AWS

Python

Tensorflow

Spark

Snowflake

PyTorch

Keras

Boost

Mid and Senior level

Amsterdam

Relocation support available

Chatbot marketing

Open for applications

Chatbot marketing

201-500 employees

B2BMarketingSaaSSocial MediaAutomationSales

Open for applications

Salary not provided

SQL

AWS

Python

Tensorflow

Spark

Snowflake

PyTorch

Keras

Boost

Mid and Senior level

Amsterdam

Relocation support available

201-500 employees

B2BMarketingSaaSSocial MediaAutomationSales

Company mission

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

Job

Company

Role

Who you are

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

What the job involves

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
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

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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