Senior Staff Machine Learning Engineer, Ads Targeting

Reddit, Inc.; United States; Remote; USD 266,000 - 373,000; Full time

Job summary

A leading company in the tech industry is seeking a Senior Staff Machine Learning Engineer to drive the automation of ML-driven targeting solutions. The successful candidate will work on cutting-edge technology in a remote setting, contributing significantly to product strategy and execution while mentoring a growing team.

Benefits

Comprehensive Healthcare Benefits

401k Match

Mental Health & Coaching Benefits

Flexible Vacation

Paid Volunteer Time Off

Qualifications

• 8+ years experience in ML model deployment.
• Tech lead experience in a product ML team.
• Expertise in retrieval modeling and recommendation systems.

Responsibilities

• Design and execute ML-based targeting products.
• Drive research direction and project execution.
• Mentor junior ML engineers.

Skills

Machine Learning

Deep Learning

Data Processing

Model Evaluation

Mentorship

Tools

Tensorflow

Pytorch

Spark

BigQuery

Airflow

Job description

Senior Staff Machine Learning Engineer, Ads Targeting

Remote - United States

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
  
  
• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• 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.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

How did you hear about this job? *

Please provide the name of your current (or most recent) company *

Are you currently authorized to work in the U.S.? * Select...

Do you now, or will you in the future, require immigration sponsorship to work at Reddit? * Select...

By selecting "I agree," I understand that the information I have provided as part of this job application will be processed in accordance with Reddit's Candidate Privacy Policy. * Select...

Reddit U.S. Equal Employment Information

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.

Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.

We invite you to self-identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.

Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision. For more information, please refer to our statement here .

What gender identity do you most closely identify with? * Select...

Are you a person of transgender experience? * Select...

What sexual orientation do you most closely identify with? * Select...

Do you live with a disability (as outlined by the ADA)? * Select...

Are you a veteran/have you served in the military? * Select...

Please select up to 2 ethnicities that you most closely identify with. * Select...