What You'll Do
- 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
Who You Are
- Extensive software engineering experience in building high performance, large-scale ML systems (Preferably 3 to 5 years of industry experience in Oil & Gas, manufacturing etc).
- 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.
- B.E / BTech in Computer Science, Electrical Engineering, or a related field with specialized research in areas such as machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques.
- 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.
- Experience with RAG, dual encoders, or related fields 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.
- Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments.
- Experience with JAX.
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems.
- Strong communication skills and the ability to work effectively in a collaborative research environment.
- A track record of publications and contributions to the machine learning and natural language processing communities strongly preferred.
Why choose Cognite? 🏆 🚀
- Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world.
A snapshot of our many perks and benefits as a Cogniter
- Competitive salary and benefits, including a pension plan, insurance, parental benefits, and much more.
- Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Gain perks like a paid mobile telephone subscription and broadband connection.
- Stay fueled between meals with snacks and drinks on the house.
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