Role Overview
As a Senior Software Engineer on the Machine Learning Platform team at Reddit, you will play a pivotal role in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure. This infrastructure powers critical features like Feeds Ranking, Content Understanding, and Recommendations, significantly impacting various teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
Responsibilities
- Lead the building, testing, and maintenance of ML infrastructure.
- Propose, design, and implement high-performance ML platform solutions.
- Work with management on team goal setting, planning, and de-risk project execution.
- Mentor other team members in adopting a rigorous DevOps approach.
Required Qualifications
- 4+ years of work experience in a production software development environment or building data systems.
- Experience with design and architecture of large scale ML Systems.
- Experience building production-quality code incorporating testing, evaluation, and monitoring using object oriented programming.
- Proficiency in Python, Scala, and golang.
- Knowledge of maintaining or developing applications using large-scale data stack (e.g., BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis).
- Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems.
- Strong organizational & communication skills.
Benefits
- Comprehensive Healthcare Benefits.
- 401k Matching.
- Workspace benefits for your home office.
- Personal & Professional development funds.
- Family Planning Support.
- Flexible Vacation & Reddit Global Wellness Days.
- 4+ months paid Parental Leave.
- Paid Volunteer time off.
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.
Benefits Extracted with AI
- 401(k)
- Vision insurance
- Comprehensive Healthcare Benefits
- 401k Matching
- Workspace benefits for home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation
- Paid Parental Leave
- Paid Volunteer time off
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