WHO ARE WE?
Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato's mission is to be the most innovative, tech-enabled media company connecting consumers to the world's leading brands.
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 a high-performing, entrepreneurial team.
YOUR ROLE
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
What You'll Do
What We're Looking For
Nice to Have
Compensation: $130,000 - $250,000
Total Compensation
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.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead a team of ML engineers to architect and deliver large-scale personalization and ranking systems for a high-growth digital media company.
Lead Data Scientist for Comcast's AD Tech team to design predictive models and data pipelines that optimize advertising revenue in a remote US role.
Clarify is hiring a Senior Data Science Engineer to drive production-grade ML model development, deployment, and MLOps for healthcare analytics at scale.
Work remotely on cutting-edge NLP and LLM projects at a fast-moving AI studio, building production-grade solutions using transformers, RAG, LangChain, and cloud ML services.
Lead Solace’s research and analytics function to demonstrate and quantify the impact of its advocacy services and translate insights into strategic action across the company.
Senior Data Scientist opportunity to lead experimentation, advanced analytics, and data modeling at a high-growth health-tech company transforming PBM.
Senior Lead AI/ML Engineer needed to lead LLM and prompt engineering efforts for Brillio's Recommendations team, combining hands-on model work with strategic product leadership.
Senior data science leader needed to develop predictive models, automate data processes, and deliver actionable insights for a high-impact ad tech organization within Comcast.
Lead the design and deployment of machine learning and NLP solutions at LexisNexis Reed Tech while mentoring junior data scientists and collaborating with cross-functional teams in a remote US/Canada role.
Lead the design and delivery of next-generation generative AI search and ranking systems at Coupang to improve discovery, conversion, and scalability across the search stack.
Work as a Junior AI/ML Developer on Accenture Flex projects to build data ingestion pipelines, analyze healthcare data, and develop ML models using Python and R in a local, project-based role.
Join Jerry.ai as a Staff Applied Data Scientist (PhD) to lead end-to-end development and production deployment of advanced ML and LLM-powered solutions that scale to millions of users.
Experienced AI executive needed to lead and scale Toptal's AI/ML and generative AI practice, owning strategy, offerings, go-to-market, and commercial outcomes across enterprise clients.
Noise is hiring a Senior Machine Learning Engineer to build scalable data pipelines and production ML systems that power real-time markets measuring cultural attention.