Applied Machine Learning Lead
- Machine learning
- Other places
- 06/12/2024
- -
Who are we?
Launch Potato is a pioneer in the digital media landscape, renowned as The Discovery and Conversion Company. We excel in connecting advertisers to customers throughout every stage of the consumer journey, from awareness through to purchase. Situated in the bustling heart of downtown Delray Beach, Florida, our dynamic team spans across more than a dozen countries, driving our success through a vibrant, diverse culture and high-performing, entrepreneurial spirit.
In this critical role, you will craft deep personalization models and complex optimization algorithms, enhancing our user experience and bridging connections with new products and services. Your contributions will be crucial in the expansion of our data science capabilities, forming a robust team of data scientists and machine learning engineers dedicated to escalating customer engagement and improving the quality of leads directed to our partners.
This hands-on position will have you delving deep into data and coding, overseeing the integration of cutting-edge machine learning solutions across our product range. You'll collaborate closely with our Product, Engineering, Performance, and Business Intelligence teams to strategically plan ML initiatives, assess their potential impact, and prioritize these projects.
Total Rewards & Compensation
Offering a competitive salary range of $100,000–$145,000, our compensation package includes a base salary, profit-sharing bonus, and extensive benefits. At Launch Potato, we reward performance and provide opportunities for your professional growth based on the company’s and your personal success.
Ready to make a significant impact in a profitable, high-growth company? Apply now to become our Applied Machine Learning Lead!Launch Potato is proud to be an Equal Employment Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We believe in equal opportunities regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Additional Information: