JobsUSASenior Machine Learning Researcher
Company : Launch Potato
Location : San Diego, CA, 92101
Posted Date : 15 September 2025
Job Details
Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.
The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.
(This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.)
BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly
MUST HAVE:
- A minimum of 4 years of hands-on experience in data science and machine learning.
- 2+ years of experience in the performance marketing or lead generation industry.
- Expertise in designing, implementing, optimizing, and testing Multi-Armed Bandit (MAB) solutions and recommendation systems.
- Proficiency in Python, SQL, and experience with Data Science tools like Git, Docker, and Kubernetes.
OUTCOMES
- Machine Learning Impact: Build scalable ML solutions that contribute to measurable improvements in company performance metrics within the first 12 months.
- Cross-Functional Collaboration: Actively partner with Product, Engineering, Business Intelligence, and other teams to integrate ML models into initiatives across verticals, such as Credit Cards, Insurance, and Prizes & Games.
- Innovation & Ownership: Identify and prioritize high-impact ML opportunities within the first three months, leading their design, implementation, and deployment by month six.
- Leadership & Mentorship: Serve as a thought leader by mentoring junior data scientists and contributing to the growth of Launch Potato's data science team.
- Scalability & Efficiency: Create containerized ML models using Docker/Kubernetes that ensure efficiency, scalability, and ease of deployment.
- Experience: Minimum 4 years experience in a hands-on, in-the-weeds data science position.
- Industry Expertise: A deep understanding of monetization methodologies within performance marketing and the ability to translate them into data science applications.
- ML Specialization: Experience building and productionizing MAB solutions, recommendation systems (content-based, collaborative filtering, hybrid), and deep learning models.
- Technical Skills: Expert-level Python and SQL skills, along with hands-on experience in cloud services like AWS or GCP and familiarity with the ML lifecycle.
- Competencies:
- Analytical Excellence: Proven track record of leveraging ML models to drive company-level performance metrics.
- Curiosity & Innovation: A passion for learning and staying updated with the latest ML/AI trends, technologies, and applications.
- Leadership: Ability to independently own projects, structure complex challenges, and collaborate effectively across teams.
- Experience utilizing LLMs and deep learning techniques for personalization and business solutions.
- Proficiency in data visualization tools like Looker.
- A track record of contributing to the growth and roadmap of a data science team.
- Experience training, mentoring, or managing junior data scientists and machine learning engineers.
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Want to make your impact in a profitable, high-growth company? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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