Applied Research Scientist – Foundation Models

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🕒 October 22, 2025

🏄 California – Remote

🏄 California – Remote

💵 $180k - $230k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

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Ambient Security

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Ambient Security is a cybersecurity company focused on identifying, managing, and securing privileged identities across various platforms, including cloud, SaaS, and on-premises environments. Their unified ITDR (Identity Threat Detection and Response) and ISPM (Identity Security Posture Management) solutions help organizations eliminate high-risk identities and prevent potential breaches and audit issues. By leveraging AI, Ambient Security automates the detection of rogue privileged accounts, allowing security teams to concentrate on higher-priority threats.

📋 Description

• Develop & Optimize VLMs: Design and optimize transformer-based vision-language models to understand images, videos, and text, and optimize for real-time inference. • Pre-training & Fine-tuning: Own the full training pipeline—from pre-training on image-text data to fine-tuning for Ambient.ai’s physical security domain and use cases. • Model Compression & Optimization: Apply techniques like distillation, quantization, and pruning to reduce model size and latency, enabling efficient edge deployment. • Leverage Open-Source & Innovate: Use and extend state-of-the-art open-source models. Prototype new architectures and training methods to advance Ambient.ai’s multimodal AI research. • Cross-Team Collaboration: Work with engineering and product teams to integrate models into the platform. Iterate based on real-world feedback and deployment data to improve performance. • Research and Experimentation: Stay current with vision, NLP, and multimodal AI research. Design experiments to test new algorithms and continually enhance our core AI systems.

🎯 Requirements

• Ph.D. or Master’s in CS, EE, or related field, with a strong foundation in AI/ML (Ph.D. preferred or Master’s with strong experience) • Proficient in Python/C++ and deep learning frameworks like PyTorch or TensorFlow. Comfortable with large-scale training pipelines • Hands-on experience with CNNs, Transformers, and Vision Transformers (ViT). Strong understanding of vision-language models and how to fine-tune or adapt them • Proven skills in model training and optimization, including fine-tuning on large datasets and applying distillation, quantization, or similar techniques. Experience with foundation or multimodal models is a plus. • Strong problem-solving ability: quick prototyping, diagnosing failure cases, and iterating on solutions • Startup experience preferred: Comfortable with ambiguity, fast iteration, and owning projects end-to-end

🏖️ Benefits

• Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) • We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand) • Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company • You’ll receive everything you need to hit the ground running, including cutting-edge equipment and branded gear • Enjoy a full range of opportunities to connect with your awesome co-workers • We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist