CHILD CONTENT-SINGLE LOADED
- 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.
⏳ Last Date to Apply:
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Reddit
Reddit Staff Machine Learning Systems Engineer, Embeddings Platform Recruitment 2026: Apply Online
Staff Machine Learning Systems Engineer, Embeddings Platform
Experience Required
8+ years
Salary / Package
$253,300 – $354,600 USD
Work Mode
Remote
Openings
Job Overview
The Embedding Machine Learning Platform team at Reddit is at the vanguard of developing sophisticated machine learning models that underpin the platform’s recommendation systems. Moving beyond conventional retrieval and ranking methodologies, we harness contemporary deep learning techniques and scalable model architectures to elevate personalization across Reddit’s vast ecosystem. Our contributions are instrumental in shaping content discovery, enhancing user engagement, and fostering platform growth on a massive scale.
As a Staff Machine Learning Engineer, you will assume ownership of the technical trajectory for extensive machine learning models. This involves guiding the creation of advanced deep learning architectures and high-impact ML systems. You will collaborate closely with leadership to formulate ML roadmaps, spearhead innovation in scalable model design and training methodologies, and ensure the efficient and dependable deployment of ML models into production environments. This pivotal role provides a unique opportunity to influence key AI-driven systems throughout Reddit while simultaneously mentoring and elevating the technical proficiencies of the team.
Key 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.
Key Job Details
| Company Name | |
| Job Role | Staff Machine Learning Systems Engineer, Embeddings Platform |
| Experience | 8+ years |
| Salary Range | $253,300 – $354,600 USD |
| Job Type | Private |
| Work Mode | Remote |
| Openings | |
| Job Location | Remote (US-based) |
Key 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 & Qualifications
- 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.
Required Skills
- Machine Learning Engineering
- Deep Learning
- Recommendation Systems
- Personalization
- Large-Scale ML Systems
- Distributed Training
- Real-time Inference
- Python
- C++
- ML Infrastructure
- High-Performance Computing
- Cloud ML Pipelines
- A/B Testing
- Model Evaluation
- Leadership
- Mentoring
- Cross-functional Collaboration
- Communication Skills
About Reddit
Reddit is a network of communities where people can dive into anything that interests them. With over 100 million monthly active contributors and more than 2 billion monthly visits, Reddit is the internet’s homepage for the world’s communities. Reddit is committed to building a workforce representative of the diverse communities it serves.
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