Lead Machine Learning Engineer

Denver, Colorado, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Digital MediaIndustries

Requirements

Candidates must have 7+ years of experience in ML engineering, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, strong system design skills for ML infrastructure, and proven ability to mentor engineers and drive technical decisions are essential. Experience managing stakeholder relationships and project delivery is also necessary. Nice-to-have qualifications include experience in adtech, e-commerce, or content platforms, published ML papers, experience with multi-objective optimization, and knowledge of reinforcement learning for personalization.

Responsibilities

The Lead Machine Learning Engineer will lead a team of 3-5 ML engineers to build personalization systems, architect multi-stage ranking systems, and define a technical roadmap aligned with business objectives. Responsibilities include driving improvements in model quality, system reliability, and development velocity, establishing best practices for model development and deployment, and partnering with product, data science, and engineering teams. The role also involves contributing hands-on to critical model development, with approximately 50% of the time dedicated to coding.

Skills

Machine Learning

Personalization Systems

Optimization Systems

System Design

ML Infrastructure

Model Development

Model Deployment

Two-tower architectures

Transformer-based architectures

Graph Neural Networks

Multi-stage ranking systems

Retrieval

Ranking

Re-ranking

Stakeholder Management

Project Delivery

Team Leadership

Mentoring

Launch Potato

Digital media company connecting consumers with products

About Launch Potato

Launch Potato operates in the digital media sector, focusing on connecting consumers with new products and services through its various digital brands. The company utilizes smart marketing strategies, advanced engineering, and data science to enhance consumer discovery and engagement. Its business model includes generating revenue through advertising, affiliate marketing, and lead generation, allowing it to effectively match consumers with offerings that suit their needs. Unlike many competitors, Launch Potato emphasizes a distributed global team, which fosters a flexible and innovative work culture. The company's goal is to help consumers improve their lives by providing access to valuable products and services while maintaining a strong focus on growth and workplace satisfaction.

Delray Beach, FloridaHeadquarters

2014Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, Consumer GoodsIndustries

51-200Employees

Risks

Rapid growth of FinanceBuzz may lead to scalability challenges.

Increasing competition in digital media could impact Launch Potato's market share.

Changes in consumer privacy regulations may affect data-driven marketing strategies.

Differentiation

Launch Potato connects advertisers to over 70 million US consumers monthly.

FinanceBuzz, a Launch Potato brand, grew 10X in the last year.

Launch Potato's global team spans over a dozen countries, enhancing diversity and innovation.

Upsides

Launch Potato is recognized as the #1 Best Small Workplace by Fortune.

The company ranked #294 on the Deloitte Technology Fast 500™ list.

Increased focus on personalized marketing strategies enhances consumer engagement for Launch Potato.

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