every keystroke is an opportunity. elicit gives marketers control over the single most-used feature on a website: the search box$1. .$1
internet on-site search software • mobile on-site search software • social media on-site search software
11 - 50
💰 $525k Series A on 2014-04
March 20
🇺🇸 United States – Remote
💵 $160k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
every keystroke is an opportunity. elicit gives marketers control over the single most-used feature on a website: the search box$1. .$1
internet on-site search software • mobile on-site search software • social media on-site search software
11 - 50
💰 $525k Series A on 2014-04
• Compose together tens to thousands of calls to language models to accomplish tasks that we can't accomplish with a single call. (One way to learn what this is like and demonstrate how you'd think about this is to go through our Factored Cognition Primer, port it to more recent language models, and submit solutions for some of the exercises.) • Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papers • Set up evaluation metrics that tell us what changes to our models or training setup are improvements • Scale up semantic search from a few thousand documents to 100k+ documents
• A strong software engineering background. We want to apply your experience building systems, designing architecture, and thinking about good abstractions. Elicit will need you to do much more than write scripts. • Familiarity with language models (training, finetuning, evaluation), or comparable machine learning or natural language processing background (e.g. experience with information extraction, semantic search) • A startup mindset. We expect to measure our impact in part by the people whose lives we improve through reasoning and models of the future. We know you care about that too. You’ll want to test lots of ideas, get feedback, and watch yourself learning and growing every day.
• 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
Apply NowMarch 20
51 - 200
🇺🇸 United States – Remote
💵 $180k - $220k / year
💰 $60M Series C on 2022-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
March 20
201 - 500
🇺🇸 United States – Remote
💵 $150k - $200k / year
💰 $125M Venture Round on 2021-03
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor