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:
You must have deep technical experience working with methods and software technologies related to hosting, fine tuning, and training Large Language Models (LLMs), and other Generative AI models like 3D Point Cloud generation. A strong background developing cloud software for machine learning background is preferred, in addition to experience building LLMs applications and research. You will enable core models that will be the foundation of the product portfolio & tools that we are launching. You will regularly engage with product managers, and software engineering teams 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 other Generative AI models and contribute to transformative research with the vision of improving productivity, and safely including 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 software system design, architectural strategy on multiple Generative AI projects that involve a broad set of stakeholders.
Drive end-to-end cloud part of Machine Learning projects that have a high degree of ambiguity, scale and complexity.
Build software stack for training, and inference Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing 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 Generative AI and 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. Who You Are
Extensive software engineering experience in building high performance, large-scale çloud software and ML systems (Preferably 10+ years of industry experience in the relevant fields).
5+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Hands on experiencd
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 software 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.
5+ 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. 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.
Cognite Earns 2023 Microsoft Partner of the Year Award; Recognized as a Global Leader in Energy & Resources and Industrials & Manufacturing
And just recently,Frost & Sullivan named Cognite a Technology Innovation Leader!
Built In 2024 Best Places to Workin Austin, TX and Houston, TX A snapshot of our many perks and benefits as a Cogniter
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 🐶! Additional Information
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.
