Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.

Now is an amazing time to join Reddit as we seek to bring community and belonging to everyone in the world. We are looking for a Staff Machine Learning Engineer to join us and lead a newly established program for our messaging platform.

The Messaging team is responsible for Reddit initiated messaging (email, push-notifications, in-app notifications). This includes end-to-end consumer-facing messaging strategy, messaging creation and performance.

As a Staff Machine Learning Engineer, you will be responsible for designing and developing models that power our recommendation systems for our various messaging channels. In this rare opportunity, you will have the chance to shape the vision for our product and lead executions of ML engineering solutions that span teams and organizations at Reddit. You will partner with a talented cross-functional team of data scientists, engineers, product managers, and domain experts to deliver business impact with these strategies and solutions.

Responsibilities:

Identify and implement impactful Machine Learning (ML) models for recommendations in greenfield areas under a multimodal approach.
Be a thought leader for stakeholders and cross-functional collaborators to define and drive multi-year roadmaps for ML systems and infrastructure that can support growing our messaging needs.
Lead the roadmap, goal setting and technical direction for the team.
Uplevel the greater team through sharing knowledge and guiding thought on the adoption of new ML methodologies.
Mentor and coach engineers on the team to be the best version of themselves.

Qualifications:

Extensive experience in ML engineering for production grade systems that require skills in large-scale distributed data processing and model training.
Experience building recommender systems, search or content understanding models for consumer products.
Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow.
Results-oriented with a strong customer and business focus.
Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences.

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:

$198,200—$297,300 USD

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 [email protected].

Staff Machine Learning Engineer (Messaging - Recommendations)

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