Staff Software Engineer, ML Training Platform

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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Location:
This role is completely remote-friendly. 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. 

Who We Are: 
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Staff Software Engineer, Training Platform, this person will work on our wider Machine Learning Platform team, and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle. You will deliver a self service ML platform that enables the continuous iteration and improvement of systems that use ML techniques including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning and Computer Vision.

• Lead the building, testing, and maintenance of ML infrastructure at Reddit
• Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
• Play a pivotal role in designing, building, and optimizing the infrastructure and tooling required to support large-scale machine learning workflows
• Design and implement solutions that significantly advance the architecture of the ML Platform
• Analyze bottlenecks in distributed systems and optimize for performance and cost-efficiency
• Work with management on team goal setting, planning, and de-risk project execution
• Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML platform components and services health and quality

Who You Might Be:

• 8+ years of work experience in a production software development environment or building data systems plus a degree in ML, Engineering, Computer Science, or other relevant discipline
• Experience with design and architecture of large scale ML Systems  
• Experience with ML frameworks such as TensorFlow, PyTorch, or JAX
• Experience with training workflows, hyperparameter tuning, and resource optimization on CPU and GPU
• Experience with MLOps practices and tools such as Ray and MLFlow
• Hands-on experience with Kubernetes, Docker, or other container orchestration systems
• Experience building production-quality code incorporating testing, evaluation, and monitoring using object oriented programming, experience in: Python and/or golang.
• Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

#LI-DB1 #LI-Remote

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. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:$230,000—$322,000 USD

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 you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.