Senior Machine Learning Engineer - Measurement Modeling
“The front page of the internet,' Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
The Ads Measurement Modeling team is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions. We are looking for a Senior Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, and ads experts, we are excited for you to join our team!
Responsibilities:
Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.
Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
Design and develop applied machine learning models for modeled conversions, identity matching, and privacy enhancing technologies, from ideation to production deployment.
Collaborate with data scientists and backend software engineers
Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies.
Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.
Design, implement, and maintain reliable, high-performance distributed systems.
Minimum Qualifications:
5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment.
Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications.
Ability to lead and mentor machine learning engineers or data scientists.
Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI.
Preferred Qualifications:
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
Proficiency with programming languages and statistical analysis
Prior experience with Modeled Conversions or Ads Privacy is a big plus
Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture is a big plus
Experience in Ads Privacy, Ads Measurement, and/or Ads Signals
Experience in Bayesian methodology and experimentation is a plus
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:
$216,700—$303,400 USD
About the job
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Senior Machine Learning Engineer - Measurement Modeling
“The front page of the internet,' Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.
The Ads Measurement Modeling team is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions. We are looking for a Senior Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, and ads experts, we are excited for you to join our team!
Responsibilities:
Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.
Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
Design and develop applied machine learning models for modeled conversions, identity matching, and privacy enhancing technologies, from ideation to production deployment.
Collaborate with data scientists and backend software engineers
Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies.
Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.
Design, implement, and maintain reliable, high-performance distributed systems.
Minimum Qualifications:
5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment.
Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications.
Ability to lead and mentor machine learning engineers or data scientists.
Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI.
Preferred Qualifications:
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
Proficiency with programming languages and statistical analysis
Prior experience with Modeled Conversions or Ads Privacy is a big plus
Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture is a big plus
Experience in Ads Privacy, Ads Measurement, and/or Ads Signals
Experience in Bayesian methodology and experimentation is a plus
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:
$216,700—$303,400 USD