About CogniteEmbark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge 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 Year. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.
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Our valuesImpact: 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. 
About Global Customer SuccessIn Global Customer Success, we build a quality company that helps our customers (and employees!) achieve their desired outcomes with Cognite. We take ownership to ensure that value moves beyond a paper exercise, and is being realized in practice. We have a relentless focus on innovation,  ensuring we fully utilize our peoples' capabilities. We strive for happy and thriving employees, working with engaged customers to expand their usage and impact, and bring back feedback to improve our products. Within Global Customer Success, we emphasise developing repeatable and scalable offerings to maximize the outcomes of our investments as a company.


The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.
Who you are:We are looking for a highly motivated and talented Machine Learning Engineer to join our AI team. The ideal candidate will have experience in Large Language Modeling (LLM) and DataOps. We are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, then this is the perfect job for you!
Opportunity: Machine learning experts on our team can utilize applied science and software development skills to help tweak Foundation Models that help us address some of the hardest problems towards our vision in making insights from complex Industrial data simple & easy to access. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning, AI, and Industrial data architects making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
This position offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of saving lives with Industrial Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the Industrial domain. Join us and make a significant impact on the future of Industrial DataOps.

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.
We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇

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. 

Apply today!
If you're 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 - Smriti Joshi at smriti.joshi@cognite.com.
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.


 Join the global Cognite Community! 🌐- Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝- ITPL office location (Bengaluru)- 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.- Hybrid work environment globally

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, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇


Apply today!If you're 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 on Cognite LinkedIn; we post all our openings there.