8 days ago

Member of Technical Staff, Applied AI

RemoteHunter

Hybrid
Full Time
$180,000
Hybrid

Job Overview

Job TitleMember of Technical Staff, Applied AI
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$180,000
LocationHybrid

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Job Description

About the Opportunity for a Member of Technical Staff, Applied AI

The organization builds useful multimodal artificial intelligence to empower organizations and businesses. It is a globally distributed foundation model startup headquartered in the San Francisco Bay Area, California, with a remote-first team comprising top talent worldwide. The founding team and members have contributed to major AI breakthroughs over the past decade.

Responsibilities

  • Productionize frontier AI models to solve complex real-world problems.
  • Collaborate closely with researchers and teammates on latest AI and ML advancements.
  • Work with customers to integrate models into their technology stacks.
  • Make direct business impact through high product ownership.
  • Serve as a founding member of a fast-growing team with diverse responsibilities.

Requirements

  • Strong customer focus and passion for solving practical, sometimes ambiguous, real-world problems.
  • Experience as a machine learning engineer, ideally on AI products for external customers.
  • Background as a technical founder or similar role.
  • Practical experience with transformer models and large language models.
  • Exceptional communication skills and ability to work with cross-functional teams.
  • Proven track record of end-to-end problem ownership and rapid learning.
  • Kind and collaborative work style.

Benefits & Perks

  • Five weeks of paid leave.
  • Comprehensive healthcare coverage including vision and dental.
  • Visa assistance including H1B and OPT transfers for US employees.

Key skills/competency

  • Applied AI
  • Machine Learning Engineering
  • Transformer Models
  • Large Language Models
  • AI Product Development
  • Customer Focus
  • Cross-functional Collaboration
  • End-to-End Problem Ownership
  • Model Productionization
  • MLOps

Tags:

Member of Technical Staff
Applied AI
Productionization
AI models
Machine Learning
Customer integration
Product ownership
Collaboration
Real-world problems
AI advancements
End-to-end ownership
Transformer models
Large Language Models
MLOps
Software Engineering
API Development
Cloud Computing
Scalable Systems
Python

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How to Get Hired at RemoteHunter

  • Research RemoteHunter's culture: Study their mission, values, remote-first ethos, and recent AI breakthroughs on LinkedIn.
  • Tailor your resume: Highlight extensive ML engineering experience, particularly with applied AI products for external customers.
  • Showcase AI product experience: Emphasize practical work with transformer models and large language models in production environments.
  • Prepare for technical deep-dives: Focus on model productionization, scalability, and integration into diverse technology stacks.
  • Demonstrate collaborative spirit: Provide examples of successful cross-functional teamwork and end-to-end problem ownership.

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