Senior ML Engineering Leader - Ad Platform Growth

Fetch; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity in Fetch

401k Match

Medical, dental and vision plans

Education reimbursement

Paid time off and holidays

Parental leave

Remote work flexibility

Job summary

Fetch is seeking a Senior Manager of Machine Learning Engineering to lead the team building and scaling ML capabilities across our Ad Platform. You will partner with Product, Data Science, Engineering, and business stakeholders to translate strategy into a measurable roadmap that improves advertiser outcomes, member experience, and marketplace performance.

You will guide engineers through ambiguity, balancing rapid delivery with model quality, reliability, and long-term technical health while

Qualifications

• Experience leading ML engineering teams toward product-focused outcomes.
• Proven track record building and operating production ML systems at scale.
• Ability translate business goals into technical roadmaps and metrics.

Responsibilities

• Lead a team of ML engineers working on ad platform systems.
• Translate strategy into measurable quarterly and annual roadmaps.
• Collaborate with Product, Data Science, Analytics, and Engineering to define success metrics.
• Balance delivery speed with model quality, scalability, and technical health.

Skills

Team leadership

ML lifecycle expertise

Cross-functional collaboration

Project management

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Equivalent practical experience

Tools

Python

SQL

TensorFlow / PyTorch

Cloud platforms (AWS/GCP)

Job description

Fetch is seeking a Senior Manager of Machine Learning Engineering to lead the team building and scaling ML capabilities across our Ad Platform. You will partner with Product, Data Science, Engineering, and business stakeholders to translate strategy into a measurable roadmap that improves advertiser outcomes, member experience, and marketplace performance.

You will guide engineers through ambiguity, balancing rapid delivery with model quality, reliability, and long-term technical health while