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.

YWho you are:

You must have deep technical experience working with methods and technologies related to Large Language Models (LLMs), from model fine-tune to prompt engineering. A strong background developing machine learning background is preferred, in addition to experience building LLMs applications and research. You will enable core models that will be the foundational of the product portfolio & tools that we are launching. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, who will partner with you to productize your work.

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

• Lead the system design, architectural strategy on multiple applied research projects that involve a broad set of stakeholders.
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity.
• Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• 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.
• Collaborate with stakeholders of LLMs and scope new research and product engagement opportunities.
• Bring state-of-the-art generative AI systems to Cognite and improve LLM efficiency.
• Stay up to date on new research and chart the path forward to quality-driven production.

• Extensive software engineering experience in building high performance, large-scale ML systems (Preferably 7 to 10 years of industry experience in the relevant fields).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.
• 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.
• Advanced degree, ideally a Ph.D., 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.
• 7 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• 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.
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments strongly preferred.
• Experience with RAG, dual encoders, or related fields strongly preferred.
• Experience with JAX strongly preferred.
• A track record of publications and contributions to the machine learning and natural language processing communities strongly preferred.

• 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 sustainability for 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!

• Competitive Compensation including base plus bonus
• 401(k) with 4% employer matching
• Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
• Unlimited PTO flexibility to enjoy it
• 18 Company Holidays including the week between Christmas & New Years
• Paid Parental Leave Program
• Employee Stock Purchase Program (ESPP)
• Employee Referral Program
• Company Paid Friday Lunch via DoorDash Fully Stocked Fridges in the offices
• Join a team 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
• 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.
• Paid mobile phone and WiFI
• A pet lover? Get the chance to meet Spot 🐶!

Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

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.