Atlas AI Training Data Curation Internship Fueling Knowledge Graph Intelligence
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Cognite
Embark on a transformative journey with Cognite a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI an industrial agent workbench and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the the realm of industrial digital transformation we stand at the forefront reshaping the future of Oil & Gas Chemicals Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity and together we forge the path to a smarter more connected industrial future.
Learn more about Cognite here
Our values
Impact: Cogniters strive to make an impact in all that they do. We are result-oriented always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless) facing challenges head-on and viewing setbacks as opportunities for growth.
The Atlas AI team is at the forefront of leveraging AI to transform industrial data interactions. A key initiative involves fine-tuning large language models (LLMs) to generate precise queries for our industrial knowledge graph enabling intelligent agents to extract relevant insights. The success of this endeavor heavily relies on high-quality training data.
This internship project offers an exceptional opportunity for students passionate about Machine Learning and AI to contribute to the foundational data infrastructure for our next-generation AI agents. The intern will be responsible for the end-to-end process of curating preparing and fine-tuning datasets running them on our evaluation frameworks. This role is critical for enhancing the accuracy and effectiveness of our knowledge graph querying capabilities.
This internship will span 6-8 weeks commencing in the first week of July. Interns will work collaboratively in pairs of two fostering a dynamic and supportive learning environment.
Project Scope & Activities
- Training Data Curation & Preparation:
- Designing and implementing strategies for collecting and annotating high-quality training data specific to industrial knowledge graph query generation.
- Working with domain experts to ensure the accuracy and relevance of the curated data.
- Developing scripts and tools in Python to automate data cleaning transformation and formatting for model training.
- Ensuring data privacy and compliance standards are met during curation.
- Model Fine-tuning:
- Experimenting with various fine-tuning techniques for pre-trained language models (LLMs) on the curated datasets.
- Utilizing cloud AI platforms (Google Cloud AI Platform AWS SageMaker Azure Machine Learning) for model training and deployment.
- Monitoring training progress analyzing model performance metrics and iterating on fine-tuning strategies.
Expected Outcomes
- Successfully curated a high-quality dataset suitable for fine-tuning LLMs for knowledge graph query generation.
- Contributed to the fine-tuning of LLMs on major cloud platforms (Google AWS Azure) leading to improved query generation capabilities.
- Provided actionable insights and recommendations to the product based on data analysis and model performance.
- Gained significant practical experience in applied machine learning data engineering for AI and cloud computing environments.
- Authored clear documentation on data curation processes fine-tuning experiments and evaluation methodologies.
Required Skills & Qualifications
- Machine Learning / Artificial Intelligence: Solid theoretical understanding of machine learning concepts including natural language processing (NLP) and large language models.
- Python: Advanced proficiency in Python for data manipulation scripting and ML framework utilization (e.g. TensorFlow PyTorch Hugging Face Transformers).
- Data Analysis: Experience with data analysis libraries (e.g. Pandas NumPy) and data visualization.
- Problem-Solving: Strong analytical and problem-solving abilities with a methodical approach to data challenges.
- Collaboration: Ability to work effectively in a team communicate technical concepts clearly and adapt to evolving project requirements.
Bonus Skills (Nice to Have):
- Experience with cloud platforms (Google Cloud Platform AWS Azure) for ML workloads.
- Familiarity with knowledge graphs graph databases or semantic web technologies.
- Experience with MLOps practices or experiment tracking tools.
- Understanding of prompt engineering and agent design principles.
A snapshot of our many perks and benefits as a Cogniter
* 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 ourHUB to be part of the conversation directly with Cogniters and our partners.
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. We have repeatedly demonstrated that digital transformation when anchored on strong DataOps drivesbusiness value and sustainabilityfor clients and allows front-line workers as well as domain experts to make better decisions every single day. We wererecognized as one of CNBCs top global enterprise technology startups powering digital transformation! And just recentlyFrost & Sullivan named Cognite a Technology Innovation Leader! Most recentlyCognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins
Apply today!
If youre excited about the opportunity to work at Cognite and make a difference in the tech industry we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
We encourage you to follow us onCognite LinkedIn; we post all our openings there.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training compensation and promotion.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
Key Skills
- All-Source Intelligence
- Military Intelligence
- GIS
- ICD Coding
- Intelligence Experience
- Military Experience
- Analysis Skills
- Microsoft Powerpoint
- Joint Operations
- Intelligence Analysis
- Leadership Experience
- Writing Skills
About Company
Deliver a step-change in productivity, safety, and performance with unified, trustworthy industrial data for every use case.
