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Ads Targeting 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 machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions.
Your Responsibilities:
- Own end-to-end execution of ML-based targeting products like auto targeting, user lookalikes etc
- Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes
- Own offline & online experimentation of ML models for improving targeting products to drive advertiser outcomes
- Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy
- Work on large scale data systems, and product integration
- Collaborate closely with multiple stakeholders cross product, engineering, research and marketing
Required Qualifications
- Experience with ads retrieval modeling, ranking or recommendation systems
- 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
- 2+ 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
- 401k Matching
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation (please use them!) & Reddit Global Wellness Days
- 4+ months paid Parental Leave
- Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
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 https://www.redditinc.com/careers/.
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.
$216,700
—$303,400 USD
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[email protected].
