Foundation Model Startup
AI Research Scientist (PhD, Visual Foundation Models for Autonomy)
Foundation Model Startup, Santa Clara, California, us, 95053
About Us
We are an innovative and well-funded startup in stealth mode, dedicated to revolutionizing spatial AI for autonomy. Our mission is to create foundational AI models that universally address autonomy challenges.
Our Team
Our team consists of leading AI experts from prestigious organizations including Google X, Google Brain, and Unity. With a rich background in founding multiple startups, we bring deep insights into commercialization across various enterprise sectors. We thrive on brainstorming sessions where we explore uncharted territories in AI applications for autonomy in areas such as vehicles, drones, and robotics.
Your Qualities
Inquisitive:
You possess an everlasting curiosity for intellectual endeavors, noticing intricate details that often go unnoticed by others. High Energy:
You flourish in fast-paced environments, driven by a personal passion for your work. Quick Learner:
You have a knack for rapidly acquiring new knowledge, often outpacing those around you. Adventurous:
You relish stepping out of your comfort zone to tackle new challenges. Innovative:
You have a proven track record of addressing complex problems with solutions that merit academic recognition. Communicator:
You excel in articulating complex ideas both verbally and in writing, fostering understanding. Open to Feedback:
You view feedback as a valuable asset and actively seek it to improve your work. Collaborative Spirit:
You embody a founder mentality, eagerly pitching in to solve pressing challenges, regardless of your specific role. Your Skills We seek candidates with a robust technical foundation in software engineering and deep learning, which can be gained through self-study, practical experience, or a PhD. Ideal candidates will have: Deep Learning Research:
Published works in leading ML conferences or hands-on experience in training multimodal foundation models. Product Development:
Experience in defining, building, and launching innovative products. Programming Expertise:
Strong command of Python. Machine Learning Knowledge:
Proficient in both theoretical and practical aspects of deep learning, particularly in computer vision and foundational model architectures (e.g., PyTorch, OpenCV, TensorFlow). Robotics:
Experience in this domain is a plus, but not mandatory. Data Management:
Familiarity with distributed data pipelines (e.g., Beam/Spark/WebDataset). Backend Development:
Skills in designing and building scalable, high-availability server-side systems (Python, NodeJS, or Golang). Cloud Technologies:
Understanding of DevOps and infrastructure (Docker, Kubernetes, GPU scheduling) within cloud environments (GCP, AWS). Monitoring Tools:
Experience with logging and monitoring systems such as DataDog, Sentry, or CloudWatch. Security Standards:
Knowledge of implementing security measures and adhering to data regulations (GDPR, SOC2). Version Control:
Proficient in Git and experienced in team collaboration on platforms like GitHub and GitLab. Domain-Specific Knowledge:
Understanding of spatial data, analytics, geographic information systems, and spatial databases (PostGIS). A Day in Your Life Prepare to engage your imagination daily as we develop groundbreaking AI technologies aimed at making robotics ubiquitous. Expect to acquire new skills regularly in our supportive team environment. You’ll collaborate closely with our AI experts as well as product engineers, ensuring a dynamic and enriching work experience.
You possess an everlasting curiosity for intellectual endeavors, noticing intricate details that often go unnoticed by others. High Energy:
You flourish in fast-paced environments, driven by a personal passion for your work. Quick Learner:
You have a knack for rapidly acquiring new knowledge, often outpacing those around you. Adventurous:
You relish stepping out of your comfort zone to tackle new challenges. Innovative:
You have a proven track record of addressing complex problems with solutions that merit academic recognition. Communicator:
You excel in articulating complex ideas both verbally and in writing, fostering understanding. Open to Feedback:
You view feedback as a valuable asset and actively seek it to improve your work. Collaborative Spirit:
You embody a founder mentality, eagerly pitching in to solve pressing challenges, regardless of your specific role. Your Skills We seek candidates with a robust technical foundation in software engineering and deep learning, which can be gained through self-study, practical experience, or a PhD. Ideal candidates will have: Deep Learning Research:
Published works in leading ML conferences or hands-on experience in training multimodal foundation models. Product Development:
Experience in defining, building, and launching innovative products. Programming Expertise:
Strong command of Python. Machine Learning Knowledge:
Proficient in both theoretical and practical aspects of deep learning, particularly in computer vision and foundational model architectures (e.g., PyTorch, OpenCV, TensorFlow). Robotics:
Experience in this domain is a plus, but not mandatory. Data Management:
Familiarity with distributed data pipelines (e.g., Beam/Spark/WebDataset). Backend Development:
Skills in designing and building scalable, high-availability server-side systems (Python, NodeJS, or Golang). Cloud Technologies:
Understanding of DevOps and infrastructure (Docker, Kubernetes, GPU scheduling) within cloud environments (GCP, AWS). Monitoring Tools:
Experience with logging and monitoring systems such as DataDog, Sentry, or CloudWatch. Security Standards:
Knowledge of implementing security measures and adhering to data regulations (GDPR, SOC2). Version Control:
Proficient in Git and experienced in team collaboration on platforms like GitHub and GitLab. Domain-Specific Knowledge:
Understanding of spatial data, analytics, geographic information systems, and spatial databases (PostGIS). A Day in Your Life Prepare to engage your imagination daily as we develop groundbreaking AI technologies aimed at making robotics ubiquitous. Expect to acquire new skills regularly in our supportive team environment. You’ll collaborate closely with our AI experts as well as product engineers, ensuring a dynamic and enriching work experience.