Senior Staff Machine Learning Engineer, Ads Targeting

13 Hours ago • All levels • $266,000 PA - $372,400 PA

Job Summary

Job Description

The Senior Staff Machine Learning Engineer will design and implement ML systems for improving targeting products. They will focus on building large-scale offline & online retrieval systems to improve contextual & behavioral targeting. Responsibilities include owning the design and execution of ML-based targeting products, driving research direction, collaborating with product managers, researching and launching new model architectures, providing mentorship, and working with large-scale data systems. The goal is to automate targeting and deliver relevant audiences to advertisers. The role involves research, implementation, and deployment of machine learning models to enhance the performance of advertisement targeting systems.

Must have:

Tech lead experience in a product ML team.
Experience with ads retrieval modeling.
Experience with deep learning models for retrieval.
8+ years of experience training and deploying ML models.
5+ years of experience building ML models with Tensorflow/Pytorch.
Experience with large scale data processing tools.

Good to have:

Experience working with nearest-neighbor search systems.
Experience working with cross functional stakeholders.
Experience with deep learning or transfer learning.

Perks:

Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
Paid Volunteer time off

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

spark

deep-learning

transfer-learning

pytorch

data-analytics

cross-functional

Job Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

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 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:

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 Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
Paid Volunteer time off

#LI-AK1 #LI-REMOTE

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.

The base pay range for this position is:

$266,000 - $372,400 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.