Full-Time

Staff Machine Learning Engineer

Instruction-tuning & Alignment

Confirmed live in the last 24 hours

Scribe

Scribe

51-200 employees

AI tool for creating training guides

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$190k - $250kAnnually

+ Equity + Benefits

Senior, Expert

San Francisco, CA, USA

Hybrid position.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Jupyter
Requirements
  • You have a relevant degree from a top ML program — minimum 5+ years of industry experience working deep in the weeds on hard ML problems.
  • You have strong software engineering skills (including Python, Jupyter, etc.)
  • You have experience with instruction-based finetuning and RLHF.
  • You have experience deploying LLMs in production.
  • You have great intuitions of fundamental ML concepts (e.g., fluent in thinking about overfitting, generalization, back-propagation, etc.)
  • You have strong communication skills.
  • You have a track record of successfully owning projects from start to finish.
Responsibilities
  • Explore cutting-edge techniques in the artificial intelligence field and translate these innovations into valuable features for our millions of users.
  • Participate to the creation of the most qualitative enterprise software workflow dataset.
  • Perform multimodal product research and optimize our data flywheel to improve the performance of our models.
  • Fine-tune and train large language models leveraging various modalities.
  • Be responsible for the alignment of our state-of-the-art proprietary models so that they can behave as intended for our users.
  • Collaborate with product teams to ensure your work translates into better experiences for Scribe users (instruction following, guard-railing, etc.)

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 customer base, from small businesses to large corporations. The user-friendly interface has been recognized for simplifying the guide creation process, contributing to business growth and scalability.

Company Stage

Series B

Total Funding

$53.5M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

11%

1 year growth

50%

2 year growth

171%
Simplify Jobs

Simplify's Take

What believers are saying

  • Scribe's revenue increased by 400% last year, indicating strong market demand.
  • The rise of remote work boosts demand for Scribe's efficient onboarding solutions.
  • Scribe's recent $25M Series B funding supports further innovation and expansion.

What critics are saying

  • Competition from Google and Microsoft threatens Scribe's market share.
  • Rapid revenue growth may lead to operational challenges if not managed properly.
  • Freemium model poses financial risks if conversion rates to paid users are low.

What makes Scribe unique

  • Scribe uses AI to automate step-by-step guide creation, saving time and resources.
  • The platform automatically redacts sensitive information, ensuring compliance with data protection regulations.
  • Scribe's freemium model attracts a broad range of customers, from small to large businesses.

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