Used Tools & Technologies
GPU HPCRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
A/B Testing @ 4
Machine Learning @ 4
Leadership @ 4
Communication @ 4
Mentoring @ 6
Deep Learning @ 4
AI @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The LS Embedding Machine Learning team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale.
How You'll Have Impact
As a Staff Machine Learning Engineer, you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities.
Responsibilities
- Architect and lead the development of next-generation, large-scale machine learning techniques.
- Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
- Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production.
- Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
- Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.
- Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems.
- Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.
- Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge.
- Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.
Requirements
- 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.
- Expertise in modern deep learning architectures, including sequence models and foundational models.
- Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems.
- Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference.
- Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines.
- Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.
- Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
- Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Location
Remote - United States
Compensation
Base salary range: $253,300 - $354,600 USD. In addition to base salary, the role is eligible to receive equity in the form of restricted stock units and may be eligible for other components depending on the position offered. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, a 401(k) program with employer match, and generous time off.
Additional Notes
In select roles and locations, interviews may be recorded, transcribed, and summarized by AI; candidates can opt out prior to scheduled interviews. During interviews Reddit collects identifiers, professional/employment-related information, sensory information (audio/video), and any other categories candidates choose to share, used to evaluate applications. Reddit is an equal opportunity employer and provides reasonable accommodations during the application process.