hireVouch · 3 months ago
Machine Learning Engineer, AI Decisioning
United States
Full-time
Remote
Mid Level
$320K/yr - $320K/yrhireVouch is expanding its data activation products and is seeking a machine learning engineer to add an intelligence layer. The role involves developing solutions for personalization, automated experimentation, predictive audiences, content generation, and budget optimization using machine learning techniques.
Staffing & Recruiting
Responsibilities
Helping companies figure out which customers to message, what content to put in messages, and when to send messages
Working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers
Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers
Building models to predict which users are most likely to convert, churn, or take desired actions
Helping marketers generate text, images, and creatives that are compelling to their customers
Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest
Qualification
Required
Experience in machine learning and data science
Strong programming skills in Python or similar languages
Familiarity with machine learning frameworks such as TensorFlow or PyTorch
Experience with data manipulation and analysis using tools like SQL, Pandas, or similar
Ability to work with large datasets and perform data preprocessing
Experience in building and deploying machine learning models
Strong problem-solving skills and ability to work independently
Excellent communication skills to collaborate with cross-functional teams
Preferred
Experience with natural language processing (NLP) techniques
Familiarity with cloud platforms such as AWS, GCP, or Azure
Experience in A/B testing and experimental design
Knowledge of marketing analytics and customer segmentation
Experience with LLMs and content generation techniques
Company
hireVouch
Our Edge Hiring and retaining skilled talent is paramount for your company’s success.
Founded in 2016
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase