ML Engineer | UnboxAI

3 Months ago • 3-5 Years • Artificial Intelligence

Job Summary

Job Description

Unbox AI seeks an ML Engineer with 3-5 years of experience in training deep neural networks, LLMs, and behavioral models. Expertise in PyTorch, multi-node/GPU training, memory/compute optimization, and data loaders is crucial. Experience with CUDA is a plus.
Must have:
  • Deep Neural Networks
  • LLM Training
  • PyTorch Expertise
  • Multi-GPU Training
Good to have:
  • CUDA Experience
  • Behavioral Models
  • Data Loader Optimization
  • Memory Optimization
Perks:
  • Health Insurance
  • Learning Budget

Job Details

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of UnboxAI, GT is looking for an ML Engineer interested in working with a generative AI-based product.

About the Client & the Project

Unbox AI specializes in generative AI for analyzing and predicting human behavior and actions using time series data. Their flagship model, BehaviorGPT, leverages past behaviors to forecast future actions, driving business strategies across various industries by predicting customer, supplier, and employee next steps. This technology aims to enhance sales, customer satisfaction, and operational efficiency through personalized search, recommendations, and fraud detection among other applications.

About the Role

As an ML Engineer in UnboxAI, you will work with state-of-the-art models and work with the largest behavioral foundation model in the world

Responsibilities:

Training and optimizing training of deep neural networks with billions of parameter models on 10s of billions of data points on multi-node and multi-GPUs systems.

Essential knowledge, skills & experience:

  • 3-5 years of experience in the AI/ML field

  • Expertise in training LLM and other behavioral models

  • Experience with PTorch and multi-node multi-GPU training

  • Optimizing memory and compute use, data loaders, ram, storage

  • Advanced level of English

Nice-to-have

  • Experience with CUDA

Soft Skills

  • proactiveness

  • team collaboration

  • self-starter

  • willingness to learn and grow in the AI field

Interview Steps

  1. GT interview with Recruiter

  2. Technical interview

  3. Final interview

  4. Reference check

We go beyond usual perks… By working with us, you will get:

  • Health insurance

  • Psychotherapy coverage

  • Sport coverage

  • Learning budget

  • 18 business days of paid vacation days per year.

  • Paid sick leaves.

  • All public holidays are paid days off.

GT working model:

You will work directly with a client through our Extended Team model. We try to do things differently and put our efforts into integrating you as deeply as possible into the client’s team. You work with the same tools and technologies as they do and are managed directly by the client without any intermediary in between. We help you build relationships and create an environment where you genuinely feel like a member of the client’s team. We also encourage trips to a client and join teambuilding and after-work activities. Our Extended Team model is focused on long-term projects that last over several years.

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