Senior Machine Learning Engineer, ManyChat
Offers relocation support
Chatbot marketing
Open for applications
Chatbot marketing
201-500 employees
Open for applications
Offers relocation support
201-500 employees
Company mission
To help businesses grow by building meaningful relationships with their customers.
Role
Who you are
- 6+ years of proven experience as a Machine Learning Engineer, or equivalent
- Highly proficient in Python, and good knowledge of SQL. An additional strongly typed language is a plus
- Demonstrated experience in the principles of ML
- Experience building, testing, deploying, monitoring, and maintaining ML in production
- Cloud and data infrastructure experience (e.g., AWS, Snowflake, Sagemaker, Redis)
- Experience in integrating new Machine Learning tooling, core frameworks (e.g. PyTorch/TensorFlow), orchestration (e.g. Airflow), and containerisation (e.g. Docker/K8s)
- Experience in building MLOps tooling and processes
- Track record of project leadership, cross-team collaboration, and coordination with Product Managers and Engineering teams
- Bonus points for knowledge and experience in building, testing, deploying, monitoring, and maintaining LLM models (Prompt engineering, RAG, Fine tuning, LLM ops tooling)
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 Engineer to join our ML and AI squad, and help us translate our rich data into helpful, delightful, and valuable user experiences
- Reporting to the Head of Data, you’ll work closely with ML scientists and Data engineers to translate ML and AI models into reliable, scalable machine learning solutions. This is a high-impact role that blends engineering excellence with Machine Learning innovation
- Design, develop, and deploy ,in collaboration with ML Scientists and Data Engineers, production level machine learning models and AI applications
- Ensure scalability, efficiency, and accuracy of deployed ML and AI models
- Evaluate potential architecture solutions and tooling
- Maintain clean, reproducible, and scalable ML code and pipelines
- Drive a strong MLOps culture standardizing best practices for CI/CD, model governance, observability, and reliability
- 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 standardized responses, unless the business staffs a chatbot programmer.
ManyChat provides a platform for the creation of customized chatbots without needing any experience in coding. The startup focuses on providing small businesses 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 each year. Though there is tough competition in this field, including new AI chatbots arriving on the market, ManyChat's focus on ease of use and code-free customization 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
(CEO)Studied at State University before co-founding ManyChat in July 2015. Has been CEO ever since.
Salary benchmarks
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