Staff Machine Learning Engineer - Ads Targeting

reddit; Canada; Remote; CAD 125,000 - 150,000; Full time

Job summary

A leading social media platform is hiring a Staff Machine Learning Engineer to design and implement ML solutions for targeting products. The role involves end-to-end execution of ML-based products, mentorship, and collaboration with cross-functional teams. The ideal candidate has a strong background in ML, experience with deep learning models, and is a tech lead in a product ML team. This position offers comprehensive health benefits and flexible vacation options.

Benefits

Comprehensive Health benefits

Retirement Savings plan with matching contributions

Workspace benefits for your home office

Personal & Professional development funds

Family Planning Support

Flexible Vacation & Reddit Global Days Off

Qualifications

• 5+ years of end-to-end experience in ML models.
• Experience with cross-functional stakeholders.
• Strong experience in ML model deployment.

Responsibilities

• Own design and execution of ML products.
• Drive technical roadmap for complex projects.
• Mentor junior machine learning engineers.

Skills

Tech lead experience in a product ML team

Ads retrieval modeling experience

Knowledge of deep learning models

Experience with Tensorflow / Pytorch

Experience with large scale data processing

Tools

Spark

Dataflow

Kubeflow

Airflow

BigQuery

Job description

Overview

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 ,+ active communities and approximately + million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .

Reddit has a flexible first workforce! if you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you’d like. Don\'t live near one of our offices? No worries : You can apply to work remotely from the United States or Canada.

Role

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 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.

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)
• years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
• 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 Health benefits
• Retirement Savings plan with matching contributions
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off