Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies.
Our team is 100% remote and we work with teams across the United States to help them hire.
We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.
About Our Client
We are an elite team of AI experts and innovators, founded by Stanford professors and boasting alumni from Stanford, MIT, and Princeton.
Our team members bring over 5 years of research experience in embedding models, a key component in the realm of vector search and RAG (Retrieval-Augmented Generation) applications.
These advanced embedding models are instrumental in transforming vector search, making information retrieval more accurate, efficient, and contextually relevant.
Based in Palo Alto, we specialize in developing these models to enhance retrieval accuracy and provide customized AI solutions.
Backed by top venture capital firms, We are at the forefront of AI research and application, driven by a mission to deliver groundbreaking AI technologies and services.
Qualifications
We anticipate someone for this role likely having 3-8 years of experience however this is not a hard range and we care more about experience so if you don’t fall into that please still apply.
Bachelors of Science in Computer Science.
Expertise in cloud services (AWS, Azure, GCP) and deploying applications in cloud environments.
Experience with containerization and orchestration technologies (Docker, Kubernetes).
Proficiency in programming languages such as Python, C++, or Go.
Familiarity with AI and machine learning concepts, particularly in deploying ML models.
Bonus Points For:
Experience deploying AI models on cloud platforms (AWS, Azure, GCP) and within customers' VPCs
Location : In person in downtown Palo Alto.
Compensation: $150-200k base
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