Data Scientist

TL;DR

Data Scientist (AI): Developing and deploying Large Language Models or Large Multimodal Models across multiple company products with an accent on processing complex and intricate datasets and deriving actionable insights. Focus on designing and implementing innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains.

Location: Hybrid, based out of our Seattle, WA office (4 days/week in office).

Salary: $130,000 - $190,000 per year, based in Seattle, WA.

Company

hirify.global is the first full-funnel connected commerce platform for the world's most innovative brands.

What you will do

• Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products.
• Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs.
• Provide prompt and accurate responses to both internal and external inquiries about our datasets and models.
• Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights.
• Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams.
• Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques.

Requirements

• PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field.
• 1+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
• 1+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
• Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs).
• Strong proficiency with programming and querying languages like Python and SQL.
• Experience deploying solutions at scale after prototyping.

Nice to have

• Prior experience with big data technologies such as Hadoop or Spark.
• Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
• Experience working in a startup, retail, digital advertising, or e-commerce environment.

Culture & Benefits

• Comprehensive benefits plan covering medical, dental, and vision.
• Company 401k plan plus matching.
• 20 days of Paid Time Off annually.
• Summer Fridays early close at 3pm.