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Technology Innovation Institute

Senior Software Engineer

Technology Innovation Institute is hiring a Senior Software Engineer. Level rates it ; you can apply on Technology Innovation Institute.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, TensorFlow and JAX.
  • Level classifies it as a senior role.
  • Level lists 15 other open roles at Technology Innovation Institute.

AI in this role

pytorchtensorflowjax
prompt-engineeringfine-tuningnlp

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

As part of TII’s Artificial Intelligence Research Center, the Extreme-Scale Language Model team is developing and implementing innovative deep learning technologies with a broad range of applications, from Natural Language Processing to Perception and Vision. Our team has developed the Falcon models and is now planning to continue our journey into cutting-edge applied research in the topic of large language models.


Artificial Intelligence and Digital Research Centre

Responsibilities

· Build products and MVPs on top of the models.

· Fine-tune the models for domain-specific use cases.

· Design evaluation pipelines and benchmarks for fine-tuned models.

· Build and maintain product backends and front-end interfaces to integrate and showcase models capabilities.

· Work with researchers and engineers to move models from lab to product.

· Translate product needs into model capabilities and technical requirements.

· Optimize model performance and user experience.

 

Requirements

· Strong coding skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, etc).

· Hands-on experience fine-tuning large models.

· Knowledge of LoRA, prompt tuning, RLHF or similar methods.

· Experience with cloud, GPU environment, Docker/Kubernetes, etc.

· Experience with backend development frameworks.

· Experience with frontend frameworks.

· Ability to quickly build prototypes and iterate.

· Good communication and teamwork.

 

Qualifications

· Master's degree in Computer Science or a related field

· Strong experience in applied AI software development


At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international

institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in AI, advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.

 

How we rate this

Senior Software Engineer at Technology Innovation Institute rates 99 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringFine-tuningNLPPyTorchTensorFlowJAX

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What's a project where you used PyTorch hands-on?
  5. Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, Fine-tuning, NLP, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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