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Design, build, and maintain scalable machine learning infrastructure to support notification relevance and personalization for millions of users. Collaborate with cross-functional teams to implement end-to-end ML pipelines and lead experimentation frameworks to evaluate new models.
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
Benefits:
Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.125.2.
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.
The base pay range for this position is: $230,000.00 - $322,000.00 USD
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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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