Machine Learning Engineer
Description For Machine Learning Engineer
Elicit, the AI research assistant, is seeking a Machine Learning Engineer to join their team in Oakland or remotely. This role is crucial in advancing Elicit's mission to radically increase the amount of good reasoning in the world through AI-assisted research.
As an ML research engineer at Elicit, you'll be at the forefront of applying language models to complex research tasks. Your responsibilities will include composing multiple language model calls to accomplish sophisticated tasks, curating datasets for model finetuning, setting up evaluation metrics, and scaling semantic search capabilities.
The ideal candidate will have a strong software engineering background, familiarity with language models or comparable ML/NLP experience, and a startup mindset. You should be comfortable with concepts like transformer architecture, tokenizers, Python decorators, and generic types.
Elicit offers a competitive salary range of $160,000-$200,000, depending on your level and competencies. The company provides excellent benefits, including flexible work arrangements, comprehensive health insurance, a 401K with 6% employer match, and various professional development opportunities.
This role offers a unique opportunity to work on important problems that can significantly impact decision-making and research processes worldwide. If you're passionate about pushing the boundaries of AI and natural language processing while contributing to a mission-driven startup, this position at Elicit could be your next career-defining move.
Responsibilities For Machine Learning Engineer
- Compose together tens to thousands of calls to language models to accomplish complex tasks
- Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papers
- Set up evaluation metrics for model improvements
- Scale up semantic search from a few thousand documents to 100k+ documents
Requirements For Machine Learning Engineer
- Strong software engineering background
- Familiarity with language models (training, finetuning, evaluation), or comparable machine learning or natural language processing background
- Experience with information extraction, semantic search
- Startup mindset
- Understanding of transformer architecture
- Knowledge of tokenizers
- Understanding of Python decorators
- Knowledge of generic types
Benefits For Machine Learning Engineer
- Flexible work environment - work from our office in Oakland or remotely
- Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family (FSA/HSA options, too)
- Flexible vacation policy, with a minimum recommendation of 20 days / year
- 401K with a 6% employer match
- $2,000 device budget to start, with more accumulating for each month of work
- $500 / year personal development budget
- A team administrative assistant that you can delegate personal and work tasks to
- Different speakers, tutors, and coaches to facilitate professional development
- Commuter benefits
- A relocation bonus
- Generous equity package with 10-year exercise window
