Senior Machine Learning Engineer at Scribe

San Francisco, California, United States

Scribe Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial IntelligenceIndustries

Requirements

Candidates should have 2+ years of hands-on experience training large language models leveraging multiple modalities, including text and images. Strong software engineering skills in Python and experience with distributed training frameworks like PyTorch or JAX are required. Experience with alignment techniques such as instruction-based finetuning and RLHF is also necessary. Demonstrating strong intuitions of fundamental ML concepts and an owner mentality are essential.

Responsibilities

The Senior Machine Learning Engineer will drive the AI vision for the company, exploring and applying cutting-edge AI techniques to develop valuable features. They will spearhead the end-to-end development of proprietary models, design experiments for rapid iteration, and collaborate cross-functionally to deliver scalable solutions. This role involves translating innovations into practical applications and independently identifying challenges to ensure project success.

Skills

Machine Learning
Large Language Models
Text
Images
PyTorch
JAX
Accelerate
FSDP
Overfitting
Generalization
Back-propagation
Software Engineering
Python
Jupyter
Distributed Training
Alignment Techniques
Instruction-based Finetuning
RLHF

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

Benefits

Health Insurance
401(k) Retirement Plan
Unlimited Paid Time Off
Parental Leave
Remote Work Options
Home Office Stipend

Risks

Competition from Google and Microsoft could overshadow Scribe's AI offerings.
Rapid revenue growth may lead to operational challenges if not managed properly.
The freemium model poses financial risks if conversion rates to paid plans are low.

Differentiation

Scribe uses AI to automate step-by-step guide creation, saving time and resources.
The platform's automatic redaction feature ensures compliance with data protection regulations.
Scribe's freemium model attracts a broad range of customers, from small to large businesses.

Upsides

Scribe's revenue grew 400% last year, indicating strong market demand.
The rise of remote work increases demand for Scribe's asynchronous documentation capabilities.
Scribe's integration with tools like Asana and Trello enhances its utility for project management.

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