Applied Research Scientist Foundation Models
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Job Location:
Redwood City, CA - USA
Monthly Salary:
$ 180 - 230
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Build a safer world with us one incident at a time.
is a unified AI-powered physical security platform helping the worlds leading enterprises reduce risk improve operational efficiency and gain critical insights. Seven of the top 10 U.S. technology companies along with multiple Fortune 500 organizations rely on to modernize their physical security infrastructure.
Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95% allows security teams to focus on real threats and prevent incidents before they occur.
Founded in 2017 and backed by Andreessen Horowitz Y Combinator and Allegion Ventures is a Series B company on a mission to make every security incident preventable.
Ready to learn more Connect with us on LinkedIn and YouTube
About the role:
is hiring a Applied Research Scientist to build the next generation of foundation models for computer vision. You will join a team responsible for building multimodal models with state-of-the-art performance on real-world vision this role youll own full-cycle model development: from pre-training and fine-tuning on image-language data to applying distillation and compression techniques for deployment. This is a hands-on cross-functional role where your work will directly impact our mission of preventing every security incident possible.
What youll do:
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 pipelinefrom pre-training on image-text data to fine-tuning for 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 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.
What youll bring:
Ph.D. or Masters in CS EE or related field with a strong foundation in AI/ML (Ph.D. preferred or Masters 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
Why join us:
We are creating an entirely new category within a 120 billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
We have an impressive customer roster of F500 companies including Adobe SentinelOne and TikTok
Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
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 Years for most roles depending on customer demand)
Youll 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
#LI-Hybrid
is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race color religion sex (including pregnancy childbirth breastfeeding or related medical conditions) gender identity gender expression national origin ancestry citizenship age physical or mental disability legally protected medical condition family care status military or veteran status marital status registered domestic partner status sexual orientation genetic information or any other basis protected by local state or federal laws. Ambient is an E-Verify participant.
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Ambient.ai is transforming physical security with computer vision intelligence, empowering security teams with automated threat detection and visual verification.
