Remote Machine Learning Engineer

Description:

• Elicit is building the reasoning layer for science and decision-making using language models to search over 125 million papers, extract data, and surface insights.
• The company aims to help researchers, policy-makers, and industry leaders make evidence-backed decisions quickly.
• As an ML research engineer at Elicit, you will compose multiple calls to language models to accomplish complex tasks.
• You will curate datasets for fine-tuning models, such as training models to extract policy conclusions from papers.
• You will set up evaluation metrics to assess improvements in models or training setups.
• You will scale up semantic search capabilities from a few thousand documents to over 100,000 documents.

Requirements:

• A strong software engineering background is required, with experience in building systems, designing architecture, and creating good abstractions.
• Familiarity with language models, including training, fine-tuning, and evaluation, or a comparable background in machine learning or natural language processing is necessary.
• A startup mindset is essential, with a focus on measuring impact and a willingness to test ideas, gather feedback, and learn continuously.
• Candidates should be able to answer technical questions related to transformers, tokenizers, decorators in Python, and generic types.

Benefits:

• Elicit offers a flexible work environment, allowing employees to work from the Oakland office or remotely, with a requirement to attend quarterly team retreats.
• Health, dental, vision, and life insurance are fully covered for employees, with generous coverage for family members.
• A flexible vacation policy is in place, with a minimum recommendation of 20 days per year plus company holidays.
• Employees can participate in a 401K plan with a 6% employer match.
• A new Mac and a $1,000 budget for workstation setup in the first year, followed by $500 annually, are provided.
• A quarterly $1,000 AI Experimentation & Learning budget is available for experimenting with new AI tools, taking courses, or attending conferences.
• Employees have access to a team administrative assistant for delegating personal and work tasks.
• Additional benefits include commuter benefits, a relocation bonus, and more.