Staff Machine Learning Engineer, Embeddings
New
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RedditMachine Learning
Remote - United StatesFull-TimeStaff
Salary253,300 - 354,600 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonCloud ComputingMachine LearningC++Deep Learning
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.
- 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.
- 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.
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.
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