Design and maintain scalable ML infrastructure for notification relevance and personalization at Reddit.
Posted by employer 12 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Design and maintain scalable ML infrastructure
- Architect and implement end-to-end ML pipelines
- Collaborate with cross-functional teams
- Lead design of experimentation frameworks
- Mentor engineers in ML engineering best practices
Must have
- Bachelor’s degree in Computer Science or related field
- 5 years of experience in machine learning engineering
- Experience with large-scale software systems
- Experience with ML recommender systems
- Proficiency in Python, Golang, or Java
- Experience with PyTorch or TensorFlow
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Machine Learning Engineer at Reddit focuses on designing and maintaining scalable ML infrastructure to enhance notification relevance and personalization for millions of users. Key skills include expertise in Python or Java, experience with ML frameworks like PyTorch or TensorFlow, and proficiency in building complex systems that integrate with various data storage and messaging platforms. This position is ideal for a seasoned engineer with a strong background in machine learning and cross-functional collaboration. The role also offers opportunities for mentorship and technical leadership within a dynamic team.
Joblaze insights
- Listed today — first seen on Joblaze October 2, 2026. Last confirmed on Reddit's careers page October 2, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 85% of 204 comparable senior ai/ml roles in United States that list Python we track (median $180,000 across 70 companies). See Python salary trends
- Python appears in 52.5% of 537 comparable senior ai/ml roles in United States; REST appears in 0.2% of 537 comparable senior ai/ml roles in United States.
Quick facts
- Is the Machine Learning Engineer role remote?
- It's hybrid — Reddit expects some on-site time in San Francisco, CA, United States.
- What's the salary range?
- Reddit lists $230,000–$322,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Machine Learning Engineer role.
- Where is the role based?
- Reddit is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS CloudWatch, AWS SQS, AWS Step Functions, Amazon Redshift, Apache Airflow, Apache Kafka.
- What seniority level is this role?
- Reddit targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer role at Reddit.
From the original posting
Job Duties: Design, build, and maintain scalable ML infrastructure to support notification relevance, targeting, ranking, and personalization across channels (e.g. push, email, in-app notifications) for millions of users. Architect and implement end-to-end ML pipelines for notifications, including data ingestion, feature computation, model training, evaluation, deployment, and online serving in production environments. Collaborate cross-functionally with data scientists, product managers, and engineers across teams to define requirements, align on priorities, and deliver end-to-end notification solutions. Lead design and implementation of experimentation frameworks (e.g. A/B testing, multi-armed bandits, or similar methods) to evaluate new notification models, ranking strategies, and targeting policies. Mentor and provide technical guidance to engineers, sharing best practices in machine learning engineering, distributed systems, and ML infrastructure design. Full-time telecommuting is an option.
Requirements: Bachelor’s degree in Computer Science, Engineering (any field) or related quantitative discipline and five (5) years of experience in the job offered or related occupation.
Special Skill Requirements: (1) designing, building, and iterating large-scale scalable software systems; (2) designing and building ML recommender systems at high scale; (3) Delivering large and complex systems with significant business impact; (4) Cross-functional collaboration on large-scale projects with complex dependencies across teams; (5) Object-oriented programming (Python, Golang, or Java); (6) Building ML models with PyTorch or TensorFlow; (7) API design and integration with REST, HTTP, Thrift, or gRPC; (8) Working with largescale key-value and NoSQL storage and caching systems (Redis, Cassandra, DynamoDB); (9) Working with large-scale messaging and event-driven systems (Apache Kafka, AWS SQS, SNS, SES); (10) Building workflows using orchestration systems (Kubeflow, Ray, Apache Airflow, AWS Step Functions); (11) Working with large-scale analytics and data warehousing platforms (Google BigQuery, Amazon Redshift); (12) Experience with observability, logging, tracing and monitoring tools such as Prometheus, Grafana, AWS Cloudwatch; (13) Designing, running, and analyzing A/B experiments to measure and optimize system performance
Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.125.2.
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.
The base pay range for this position is: $230,000.00 - $322,000.00 USD
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