Senior Machine Learning Engineer - Core Experience and Growth

The Growth organization at Reddit connects users to their communities and creates engaging loops to encourage them to keep coming back. The team is a central part of our product and ensures that new users in our platform have a meaningful experience. We drive company-level impact and we push forward the cutting edge of engineering using tools such as ML and LLMs to drive sustainable user growth across our markets.

We are seeking a Senior Machine Learning Engineer to join the Growth team responsible for building users’ very first experiences on Reddit–the onboarding flow first and early feeds and notifications. 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 stakeholders 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 provide technical direction to junior engineers.

Fully remote within US or Canada

What You’ll Do:

• Use ML and/or LLMs to personalize first and early user experiences on Reddit.

• Build systems for real-time feature fetching and model inference.

• Build systems for recurring training of models using modern architectures (deep learning transformers or other sequential models).

• Work closely with ML Platform teams to provide feedback on and improve Reddit’s ML infrastructure.

• Work with Product and Design partners to identify user problems and design solutions to these problems using ML and/or LLMs.

• 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:

• 5+ years of experience building deep learning models using mainstream ML frameworks (TensorFlow PyTorch).

• 5+ years of experience training evaluating testing and deploying industry-level models.

• 5+ years of experience orchestrating data generation pipelines on large-scale datasets.

• Successful track record of applying machine learning techniques to real-world problems.

• Fluent in data analysis and SQL.

• First-hand familiarity with AB testing using an experimentation platform.

• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.

• Experience writing production-quality software (preferred Python or Go).

• Experience with content recommendations and 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.

• BS degree in Computer Science a similar technical field of study or equivalent practical experience.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k Match

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Reddit Global Days off

• Generous 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.

The base pay range for this position is:

$216700—$303400 USD