Senior Machine Learning Engineer - Ranking Foundation
Remote - United States
As a core member of the Ranking Foundation team, you’ll work with the billions of events and terabytes of data generated every day to personalize Reddit posts and comments for each user on the platform, helping them connect and engage with their communities while discovering the best of Reddit.
How You'll Have Impact
You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. You’ll work with a super talented, cross-functional team to solve hard problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness and kindness.
What You’ll Do
- Collaborate on projects with other Ranking Foundation and Core Experience engineers where you’ll apply Machine Learning to personalization, discovery and recommendation problems.
- Build and deploy sophisticated machine learning models to improve experiences for millions of users.
- Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
- Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.
- Be a mentor and cross-functional advocate for the team
Role Requirements
- 2+ years of experience with industry-level deep learning models
- 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
- 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
- 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
- Successful track record of applying machine learning techniques in addressing real-world problems
- Comfort analyzing high-volume natural language and multimodal data from varying sources, proficient with SQL
- Experience communicating complex research and ideas in a clear, precise, and actionable manner
- Experience working with data-intensive systems and writing production-quality software (preferred Python or golang)
- Experience in content recommendations, and content personalization is a plus
- Passionate about building delightful products for users
Please note, this is not a data engineering role; this is a ML Engineering role focused on modeling expertise.
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
This role is US- or Canada-based and is 100%, permanently 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:$216,700—$303,400 USDReddit 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.
Tags: Deep Learning Engineering Golang Machine Learning ML models Pipelines Python PyTorch Research SQL TensorFlow Testing
Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Team events
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