Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval

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We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us!

Ads Targeting and Retrieval ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products.

As a Senior Staff Machine Learning Engineer in the Ads Targeting Quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Your Responsibilities

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Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.

Drive research direction and technical roadmap for complex projects, lead day to day project execution, and contribute meaningfully to team vision and strategy

Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research

Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes

Provide mentorship to junior MLEs

Own offline & online experimentation of ML models for improving targeting products

Work on large scale data systems, and product integration

Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

Required Qualifications

Tech lead experience in a product ML team driving the research and technical direction to improve business outcomes using applied ML

Experience With Ads Retrieval Modeling, Ranking Or Recommendation Systems

Experience With Deep Learning Models For Retrieval (two Tower, Gnns, Transformers, Llms)

8+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models

5+ years of experience building machine learning models with Tensorflow/Pytorch

Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery

Experience Working With Nearest-neighbor Search Systems Is A Big Plus

Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research

Experience With Deep Learning, Representation Learning Or Transfer Learning Is Preferred

Tech lead experience in a product team is strongly preferred

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs

401k with Employer Match

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid Volunteer Time Off

Generous Paid Parental Leave

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Pay Transparency

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In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit

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To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The Base Pay Range For This Position Is

$266,000

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$372,400 USD

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