Applied Researcher I

Jobtailor; California (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a highly qualified AI researcher to join our team in the United States. The role focuses on building and deploying AI foundation models, with emphasis on translating research into business outcomes.

PhD in related fields is preferred and collaboration with cross-functional teams is essential to drive real impact. You will publish in machine learning theory, contribute to production systems, and advance AI solutions using PyTorch and AWS in fast-paced, production-oriented

Qualifications

• Currently has, or is in the process of obtaining, a PhD in related fields.
• MS in related fields plus 2 years of experience in Applied Research
• Experience building large deep learning models
• Deep understanding of AI methodologies
• Technical experience with AI foundation models and solutions
• Publications in machine learning and deep learning theory
• Ability to own and pursue a research agenda
• Ability to work in production environments with real-time systems.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products
• Leverage technologies such as PyTorch and AWS
• Build AI foundation models through all phases of development
• Engage in high impact applied research
• Translate complex work into business goals

Skills

Deep Learning

AI Methodologies

AI Foundation Models

Applied Research

Real-Time Systems

Education

PhD in Related Fields

MS in Related Fields

Tools

Pytorch

AWS

Job description

• Partner with a cross-functional team to deliver AI-powered products
• Leverage technologies such as Pytorch and AWS
• Build AI foundation models through all phases of development
• Engage in high impact applied research
• Translate complex work into business goals

Requirements

• Currently has, or is in the process of obtaining, a PhD in related fields
• M.S. in related fields plus 2 years of experience in Applied Research
• Experience building large deep learning models
• Deep understanding of AI methodologies
• Technical experience with AI foundation models and solutions
• Publications in machine learning and deep learning theory
• Ability to own and pursue a research agenda
• Ability to work in production environments with real-time systems.

Core Competencies

Demonstrates expertise in building AI foundation models and applying deep learning methodologies, with a strong focus on translating research into actionable business goals. Proven ability to engage in high-impact applied research and work within production environments.

Highest-signal resume keywords

• PhD In Related Fields
• Experience In Applied Research
• Building Large Deep Learning Models
• Technical Experience With AI Foundation Models
• Publications In Machine Learning

ATS Optimization Keywords

Hard Skills

• Deep Learning
• AI Methodologies
• AI Foundation Models
• Applied Research
• Real-Time Systems

Soft Skills

• Ability To Own Research Agenda
• Cross-Functional Collaboration

Tools & Technologies

• Pytorch
• AWS