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Remote Principal Engineer AI Research | WFH

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Canada, California (USA), United States

Offer summary

Qualifications:

Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field, Proven experience in designing ML models focusing on NLP, Strong command of Python and ML/NLP libraries like TensorFlow, PyTorch, Proficiency in one lower-level programming language (C, C++, Rust), Familiarity with CUDA and high-performance computing.

Key responsabilities:

  • Optimize LLMs for better performance
  • Develop tools for model orchestration
  • Research and implement cutting-edge algorithms
  • Address specific NLP challenges using customer data
  • Execute hardware-specific optimizations
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2 - 10 Employees
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Job description

Job Overview

Join our esteemed technology organization as a Principal AI Research Engineer, where you will play a pivotal role in driving innovations that empower critical applications across the globe. As a member of our core AI team, you will delve into the research, design, and implementation of advanced methodologies utilizing Large Language Models (LLMs), shaping how businesses enhance their digital experiences.

Key Responsibilities

  • Optimize and refine LLMs or embedding models to enhance performance.
  • Develop and advance tools and frameworks that facilitate model orchestration.
  • Research, design, and implement state-of-the-art algorithms focused on optimizing models for latency and efficiency.
  • Address intricate Natural Language Processing (NLP) challenges influenced by real-world customer applications.
  • Execute hardware-specific optimizations (e.g., GPUs, TPUs, CUDA) to maximize operational efficiency.

Required Skills

  • Proven experience in designing and developing machine learning models with a particular focus on natural language processing.
  • Comprehensive understanding of transformer architecture, LLMs, and embedding models.
  • Strong command of Python, coupled with experience in ML/NLP libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Proficiency in at least one lower-level programming language (C, C++, Rust).
  • Familiarity with CUDA and high-performance computing techniques.
  • A self-motivated approach, along with a keen desire to master new skills and technologies.

Qualifications

  • A Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline is required.

Career Growth Opportunities

This position offers a unique pathway for professional advancement within a leading firm poised for significant growth. You will have access to continuous learning initiatives and the opportunity to influence a high-performance company on its journey toward an IPO.

Company Culture and Values

We pride ourselves on creating a vibrant and rewarding workplace, rooted in curiosity, diversity of thought, and a commitment to innovation. Our inclusive environment ensures that all employees feel valued and empowered to share their unique perspectives.

Networking and Professional Opportunities

By joining us, you will expand your professional network while collaborating with industry leaders and experts, enhancing your career trajectory in the rapidly evolving AI landscape.

Compensation And Benefits

We offer a competitive salary range of \(179,500 - \)269,825 annually, contingent upon location, qualifications, experience, and competencies. Our comprehensive total compensation package includes:

  • Competitive salaries and equity grants
  • Unlimited time off to support a healthy work-life balance
  • Extensive health, dental, and vision coverage, alongside 401(k), FSA, and commuter benefits
  • Regular team celebrations and recreational events
  • Opportunities for ongoing professional development

As a global company, we are committed to fostering an inclusive and diverse workplace where every employee feels safe to express their authentic selves. We also provide reasonable accommodations during the recruitment process for applicants with disabilities.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Self-Motivation

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