Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have a strong understanding of machine learning principles and algorithms. Experience with Python and machine learning frameworks such as TensorFlow or PyTorch is required, along with familiarity with cloud computing platforms like AWS or Google Cloud.
Responsibilities
As a Staff Machine Learning Engineer, you will contribute to the development of machine learning models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. You will work with Product Management and Engineering to implement end-to-end modeling use cases, maintain a high bar of quality, and proactively prevent regressions through rigorous testing techniques. Additionally, you will collaborate as a technical leader and communicator within the team, continuously improving the quality of projects and contributing to the Attentive platform’s overall machine learning infrastructure.
Skills
Machine Learning
ML models
Real-time prediction
Personalization
Attentive
Personalized SMS marketing solutions for businesses
About Attentive
Attentive provides personalized SMS marketing solutions that help eCommerce businesses and direct-to-consumer (DTC) brands engage their customers through targeted text messaging. The platform uses APIs and webhooks to allow businesses to easily create and manage custom SMS campaigns. Unlike its competitors, Attentive operates on a subscription-based model, offering various features and premium customization options, which helps clients increase customer engagement and sales. The company's goal is to enhance customer relationships and drive revenue growth through effective communication.
Hoboken, New JerseyHeadquarters
2016Year Founded
$839.5MTotal Funding
SERIES_ECompany Stage
Data & Analytics, Consulting, Consumer SoftwareIndustries
1,001-5,000Employees