Staff Machine Learning Engineer at Scribe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should possess 5+ years of industry experience in machine learning, with at least 2 years in a technical leadership role. Proven expertise is required in architecting and deploying large language models (LLMs) at scale, including a deep understanding of infrastructure challenges. A track record of shipping impactful ML products that drive significant business value, experience in building ML platforms and infrastructure, and strong technical communication skills are essential. Deep expertise with the full ML stack, including distributed training and production serving, along with experience in advanced techniques like multi-modal models and alignment, is also required. Strategic thinking about AI's role in product development and the ability to translate business needs into technical solutions are crucial.

Responsibilities

The Staff Machine Learning Engineer will act as a technical leader, driving the design of the ML technical roadmap and aligning it with business objectives. Responsibilities include architecting and deploying reliable, scalable AI infrastructure, defining ML engineering best practices, and mentoring the ML team. The role involves leading cross-functional initiatives to enhance user experiences, spearheading the end-to-end development of complex AI systems from research to production, and representing Scribe's technical brand through external contributions. This individual will also pioneer the deployment of state-of-the-art models to millions of users.

Skills

Machine Learning

LLMs

Model Deployment

AI Infrastructure

Technical Leadership

ML Engineering

Model Development

Model Evaluation

Model Monitoring

Software Architecture

Problem-Solving

Team Collaboration

Scribe

AI-powered platform for creating guides

About Scribe

ScribeHow provides a platform for creating how-to guides and training documents using artificial intelligence. The platform automatically generates step-by-step guides for any web or desktop process, which helps businesses save time and resources by eliminating the need for manual documentation. It also features automatic redaction of sensitive information from screenshots to ensure compliance with data protection regulations. ScribeHow operates on a freemium model, allowing users to access a free version with the option to upgrade for more features. This approach attracts a diverse range of customers, from small businesses to large corporations. The user-friendly interface has been recognized for simplifying the guide creation process, contributing to the growth of businesses that use it.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$53.5MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

201-500Employees