Cognite is looking to leverage AI and data to solve complex business challenges in industrial sectors. The company aims to make insights from complex industrial data simple and easy to access, and is seeking to advance its offerings in areas like Large Language Models (LLMs) and Generative AI to achieve this.
Requirements
- Extensive software engineering experience in building high performance, large-scale ML systems (Preferably 3 to 5 years of industry experience in the relevant fields).
- Strong theoretical and practical background in NLP including experience with state-of-the-art LLM architectures optimized for handling large context and low inference cost.
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI.
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code.
- Experience with distributed parallel training, large-scale multi-modal foundation and generative models strongly preferred.
- Collaborate on modeling techniques to support the full spectrum of LLM tuning including prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF), parameter-efficient tuning, and fine-tuning strongly preferred.
- Familiarity with training multi-modal foundation models and relevant frameworks strongly preferred.
Responsibilities
- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
- Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
- Deliver the next generation of innovation in trustworthy Industrial Data Insights & Collaboration
Other
- Strong communication skills and the ability to work effectively in a collaborative research environment.
- Demonstrated leadership abilities, with experience in guiding and mentoring a team of ML engineers.
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments.
