AI Engineer

• Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams) to design and build end-to-end AI powered product solutions to improve Airbnb’s customer service experience.
• Use AI tooling to analyze data, build hypotheses, experiment, learn and iterate to improve the Integrated Knowledge Management services.
• Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.
• Advocate and participate in efforts to advance Airbnb’s engineering processes, technical foundations, and AI tooling.

AI Engineer, Community Support Engineering

• Define and drive the overall AI strategy and framework for Beckman Coulter Life Sciences
• Identify and prioritize AI use cases aligned with customer needs
• Lead external AI technology scouting and integration into products
• Collaborate closely with internal R&D and other teams
• Support customer adoption of AI solutions to improve efficiency

Senior AI Engineer

AI Research Scientist

• Develop and refine deep learning models for medical imaging analysis, including CT, MRI, and whole-slide pathology images
• Implement and optimize state-of-the-art computer vision architectures (e.g., 3D Swin Transformers, attention-based mechanisms) for medical image understanding
• Work with multimodal data integration, combining imaging with clinical and molecular data
• Preprocess and quality-control large-scale medical imaging datasets, ensuring data standardization and artifact detection
• Implement multiple instance learning (MIL) approaches for weakly-supervised histopathology analysis
• Conduct model validation and performance evaluation using rigorous statistical methods
• Collaborate with clinical partners (oncologists, pathologists, radiologists) to understand domain requirements and validate model outputs
• Work cross-functionally with global team members across different time zones and locations
• Contribute to technical documentation, research papers, and presentations
• Stay current with latest advances in medical imaging AI and foundation models

AI Research Scientist – Medical Imaging Analysis

Machine Learning Engineer

• You’ll design, implement, and optimize large-scale machine learning systems for training
• You’ll improve all aspects of performance, including GPU utilization, communication overhead, and memory efficiency.
• You’ll partner with research and modeling teams to align systems with algorithmic needs.
• You’ll evaluate and apply best practices for distributed training using industry-leading frameworks.
• You’ll dive deep into low-level optimization, including custom CUDA or Triton kernels.
• You’ll debug, profile, and fine-tune training workflows to unlock new levels of scalability.

Machine Learning Engineer, Training Optimization

• Build and ship AI features end-to-end (model → system → user experience)
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, and predictable behaviors
• Debug issues across the full stack (model, orchestration, infra, UX)
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks to measure real-world performance
• Work closely with product and engineering to translate ambiguous problems into working systems

Applied AI Engineer

• Good To Have Skills : Agentic Workflows (Strong)
• RAG Workflow (Strong)
• Python (Strong)
• API Development and Integration (Capable)

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AI Engineer, Community Support Engineering

Senior AI Engineer

AI Research Scientist – Medical Imaging Analysis

Machine Learning Engineer, Training Optimization

Applied AI Engineer

Staff Engineer – AI Engineer