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Remote Lead Machine Learning Engineer
Remote
Lead Machine Learning Engineer
at
Launch Potato
Posted 3 days ago
✅
2 applied
Description:
Lead a team of 3-5 ML engineers building next-generation personalization systems.
Architect multi-stage ranking systems that include retrieval, ranking, and re-ranking.
Define a technical roadmap that aligns with business objectives.
Drive improvements in model quality, system reliability, and development velocity.
Establish best practices for model development and deployment.
Partner with product, data science, and engineering teams to enhance collaboration.
Contribute hands-on to critical model development, dedicating 50% of time to coding.
Requirements:
A minimum of 7 years of experience in ML engineering, with at least 2 years in a leadership role.
Deep expertise in large-scale personalization systems is essential.
Experience with modern ML architectures, including two-tower, transformer-based, and graph neural networks.
Strong system design skills for ML infrastructure are required.
Proven ability to mentor engineers and drive technical decisions effectively.
Experience in managing stakeholder relationships and ensuring project delivery.
A BS/MS in Computer Science or equivalent experience is necessary.
Benefits:
The compensation package includes a base salary ranging from $130,000 to $250,000, based on market rates and Launch Potato’s Levels Framework.
The total compensation includes a profit-sharing bonus and competitive benefits.
Future salary increases will be based on company and personal performance rather than annual cost-of-living adjustments.
Launch Potato is committed to diversity, equity, and inclusion, providing an equal employment opportunity for all candidates.
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