Staff Machine Learning Engineer, Ads Ranking

Reddit, Inc.; Ontario; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

A leading tech company is seeking a Staff Machine Learning Engineer to enhance its ads ranking systems through model optimization. Responsibilities include designing ML models, mentoring, and contributing to modeling practices in a collaborative environment. Ideal candidates will have extensive experience in applied ML, proficiency in TensorFlow and PyTorch, and a strong background in recommendation systems.

Benefits

Comprehensive Healthcare Benefits

401k Match

Flexible work arrangements

Professional growth opportunities

Flexible Vacation

Paid Volunteer time off

Qualifications

• 7+ years of industry experience, including applied ML roles.
• Deep experience with DNN architectures and ML frameworks.
• Strong background in recommendation systems and ads ranking.

Responsibilities

• Design and train advanced ML models to power Reddit Ads Ranking.
• Develop and optimize features including embeddings and contextual signals.
• Mentor other MLEs and contribute to modeling best practices.

Skills

DNN architectures

ML frameworks

Recommendation systems

Problem-solving

Tools

TensorFlow

PyTorch

Job description

Staff Machine Learning Engineer, Ads Ranking

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 looking for a Staff Machine Learning Engineer to join Reddit’s Ads Ranking Org! This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. This position allows the opportunity to contribute across key modeling focus areas such as conversion, app ads, shopping, brand ads, or core ranking.

What you bring:

• 7+ years of industry experience, including several years in applied ML roles
• Deep experience with DNN architectures and ML frameworks (TensorFlow, PyTorch)
• Strong background in recommendation systems, ads ranking, or similar domains
• Experience working with large-scale datasets and complex feature pipelines
• Strong problem-solving and experimentation skills

Day-to-Day Responsibilities:

• Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
• Develop and optimize features including embeddings, contextual signals, and cross-session behavior
• Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
• Mentor other MLEs and contribute to modeling best practices across the org
• Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
• Balancing generalization and specificity in modeling across different ad formats
• Managing trade-offs between model complexity, latency, and prediction quality
• Navigating cross-functional alignment to scale high-impact ML initiatives

What Differentiates This Role:

• Direct path to measurable product and revenue impact
• Opportunity to shape foundational ML modeling across Reddit Ads
• Flexible scope based on modeling strengths (conversion, app ads, core ranking, etc.)
• Exposure to diverse ad surfaces (feed, video, shopping, brand) and cutting-edge ML techniques

What We Offer:

• A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
• Opportunities for professional growth and development, with a focus on continuous learning and skill-building
• A competitive salary and benefits package, with a focus on work-life balance and employee well-being
• Flexible work arrangements, including remote work options, to support your individual needs and preferences
• The chance to work on high-impact projects that drive real results for our users and advertisers
• 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

In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors .

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.

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