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Machine Learning Architect

Scout

San Francisco, CAFull-timeNo compensation foundTracked 5 days agoVerified open 5 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Scout seeks a founding Machine Learning Architect to work directly with the CTO on agent-based retrieval, spanning model research, latency optimization, cloud infrastructure, and customer onboarding.

Skills & qualifications

RequiredNice to have

Skills

Amazon Web Services (AWS)PythonTorch/PyTorchDeep LearningReinforcement Learning (RL)PyTorchCloud ComputingSoftware/Hardware Co-DesignModel Architecture ResearchLatency OptimizationOrganizational SkillsProblem Solving Skills

Qualifications

Master's Degree in Computer Science or EngineeringExperience in Engineering ML ProductsGraduate Level Work in Deep Learning and Transformer Models

Full job description

This is a founding role. You will work directly with Venkat (the CTO) to optimize our agent-based retrieval. You will be expected to help with engineering across the stack, including model architecture research, latency optimization at both the software and hardware level, cloud infrastructure, and product roadmap. You will also work closely with our customers on onboarding, support, and keeping them happy. We're looking for people who have demonstrable experience in deep learning research, cloud computing, software / hardware co-design. You are also expected to have strong organizational skills and strong problem solving skills. A Master's degree in computer science / engineering and experience in engineering ML products is required. Graduate level work in deep learning and transformer models is strongly preferred. If you have experience building a strong engineering culture at an early-stage startup, we'd love to talk with you!

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