Staff Research Engineer (LLM Pre-Training)

United States Digital Space LLC; Berlin, München; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

United States Digital Space LLC is seeking a Research Engineer to contribute to training foundation models for coding tasks. You will train LLMs from scratch on a large GPU cluster, and work with stakeholders to translate business needs into technical specs.

You’ll collect and process datasets for pre-training and fine-tuning, and support existing subsystems. Applicants should have strong NLP background, experience with PyTorch, and track record in distributed training of billion-parameter

Qualifikationen

• Experience designing and deploying production ML systems.
• Strong theoretical background in NLP and transformer-based approaches.
• Proficiency with PyTorch and NLP libraries.
• Experience distributed training of multi-billion parameter models.
• Attention to detail and excellent communication skills.

Aufgaben

• Translate business requirements into technical specs with stakeholders.
• Train LLMs from scratch on large GPU clusters.
• Collect and preprocess pre-training and fine-tuning datasets.
• Support and improve existing ML subsystems.

Kenntnisse

Production ML systems

NLP

PyTorch

Distributed training

Communication skills

Attention to detail

Tools

vLLM

DeepSpeed

TensorRT

Kubernetes

Kubeflow

Weights & Biases

TeamCity

Jobbeschreibung

At the company, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all the company products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who:

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will:

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have:

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with:

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop the company AI:

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Find Jobs in Germany on Arbeitnow