Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, SoftwareIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this Staff Machine Learning Engineer role?
Candidates need 5+ years of industry experience working on hard ML problems, including at least 2+ years in a technical leadership role.
What key technical skills are needed for this position?
Required skills include hands-on experience architecting and deploying LLMs at scale, expertise in the full ML stack like PyTorch, JAX, Accelerate, FSDP, and advanced techniques such as multi-modal models, RLHF, constitutional AI, and efficient inference.
What is the size and background of the current ML team?
The team consists of 5 elite engineers trained at the world's best ML programs, and you will mentor and grow this team.
Is this role remote or does it require office work?
This information is not specified in the job description.
What salary or compensation does this position offer?
This information is not specified in the job description.
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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