Lead ML Engineer, Recommendation Systems

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

We convert audience attention into action through data, machine learning, and continuous optimization.

We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.

MUST HAVE

You’ve shipped large-scale ML systems into production that power personalization at scale. You’re fluent in ranking algorithms and know how to turn data into engagement and conversions. Specifically :

• 7+ years building and scaling production ML systems with measurable business impact
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
• Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
• Familiarity with distributed computing (Spark, Ray) and LLM / AI Agent frameworks
• Track record of improving business KPIs via ML-powered personalization
• Experience with A / B testing platforms and experiment logging best practices

YOUR ROLE

Your mission : Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful.

OUTCOMES

COMPETENCIES

Want to accelerate your career? 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.

Create a Job Alert

Interested in building your career at Launch Potato? Get future opportunities sent straight to your email.

Apply for this job

indicates a required field

First Name

Last Name

Email

Phone

Country

Phone

Resume / CV

Enter manually

Accepted file types : pdf, doc, docx, txt, rtf

Enter manually

Accepted file types : pdf, doc, docx, txt, rtf

Education

School Select...

Degree Select...

Select...

Select...

Start date year

End date month Select...

End date year

What is your preferred name?

Any name you want to use other than your legal name. For example, you may wish to shorten your first name (e.g. Steven to Steve) or to be referred to by your middle name or a nickname.

Share your LinkedIn profile, portfolio, or personal website.

Where are you located? (City, State, Country)

Do you have 5 or more years of experience engineering & deploying machine learning models for the following : Advertising, Ranking, Recommendation, Personalization, and / or Conversion Rate

Please give an example of a project / model from the above question and explain its business impact.

Did someone at Launch Potato refer you?

Who referred you?

Please use their first and last name

What is your desired annual base salary (USD) for this full-time, remote position?

#J-18808-Ljbffr