AI Researcher & Engineer - Multimodal (Real-time Audio and Video)
Skills
- Strong research and engineering skills in neural networks and multimodal AI.
- Experience with large-scale distributed machine learning systems.
- Expertise in reinforcement learning, agentic models, or real-world AI applications.
- Proficient in systematic experiment design and model debugging.
- Effective communication and collaboration abilities.
Responsibilities
- Research, design, and implement algorithms for audio and video understanding and generation.
- Collaborate with product and engineering teams to deploy multimodal AI capabilities into production.
- Develop scalable data pipelines and curate datasets to enhance data quality.
- Create evaluation frameworks and metrics to measure and improve model performance.
- Manage the full experimental lifecycle from design to deployment and iterative refinement.
Education
- Relevant advanced degree in computer science, AI, machine learning, or a related field.
Benefits
- Competitive salary range from $180,000 to $440,000 annually.
- Hybrid work model with flexibility for remote work days.
- Opportunity to work on cutting-edge AI research and engineering in a small, motivated team.
- Flat organizational structure promoting leadership through initiative and delivery.
Average salary estimate
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