Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$200,000 – $260,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Artificial Intelligence, Marketing TechnologyIndustries
Requirements
Candidates should possess a Bachelor's degree in a relevant field, with a strong preference for those holding a Master's degree or equivalent experience, and demonstrate at least 3 years of experience in machine learning engineering, particularly within the context of data activation or customer intelligence. Experience with building and deploying machine learning models, particularly in personalization, recommendation systems, and predictive analytics, is essential, alongside a solid understanding of statistical modeling and data mining techniques. Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure, and experience with distributed systems and data pipelines are also required.
Responsibilities
As a Machine Learning Engineer, you will contribute to building comprehensive solutions for personalization, automated experimentation, predictive audiences, content generation, and budget optimization by working on customer research, problem definition, predictive modeling, machine learning infrastructure, and collaborating with customers. You will be responsible for designing and implementing machine learning models, developing and maintaining machine learning infrastructure, and partnering with stakeholders to translate business requirements into technical solutions, while also focusing on impact and potential for growth within the role.
Skills
Machine Learning
Predictive Modeling
Model Deployment
ML Infrastructure
Customer Research
Problem Definition
Solution Design
Data Warehousing
Data Analysis
Content Generation
Marketing Optimization
Hightouch
Syncs live customer data across platforms
About Hightouch
Hightouch syncs live customer data into various tools that businesses use, ensuring that this data is current and accessible for better decision-making. It operates in the data integration market, focusing on Reverse ETL, which moves data from a warehouse into SaaS applications for real-time use. Hightouch stands out by securely handling sensitive information and integrating with various tools, making it a versatile solution for data teams. The company's goal is to help businesses enhance their operational efficiency by keeping customer data synchronized across multiple platforms.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$89.7MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise Software, HealthcareIndustries
201-500Employees