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The Core Experience organization's mission is to empower people to participate in global conversations through communities. In order to scale this mission globally, our products and services must provide relevant, engaging and accessible results, on top of an extremely large corpus of fast-moving, user-generated content. We have a wide variety of products that stand to benefit from ML and/or LLM improvements to accomplish this, driving several core product metrics for the entire Reddit ecosystem.
This is a high impact role where you will own projects from ideation to production, working with our super-talented cross-functional team. You'll closely collaborate with product and design teams, and be responsible for the engineering architecture and execution of key product features. You will also identify opportunities to use, configure, and deploy ML models and/or LLMs to create or improve product features. You will be providing technical direction to junior engineers.
Fully remote within US or Canada
What You’ll Do:
- Apply Machine Learning and/or LLMs (large-language models) to personalization, discovery and recommendation problems, to ultimately improve the user experience of our products.
- Provide technical direction to junior engineers, holding a high bar for software quality.
- Communicate effectively, within the team and across disciplines. Work closely with product managers and designers to craft compelling user experiences.
- Contribute meaningfully to our team’s strategy. We give everyone a seat at the table and encourage active participation in planning our future. Don’t just come along for the ride.
- Participate in product reviews and team meetings, providing technical insight. Help scope, estimate, and prioritize between conflicting needs.
- Foster a healthy engineering culture and collaborate with other engineers.
Who You Might Be:
- 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
- Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
- 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
- Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
- Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
- BS degree in Computer Science, a similar technical field of study or equivalent practical experience.
Benefits:
- Comprehensive Health benefits
- 401k Matching
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation & Reddit Global Days Off
- 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. 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.
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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