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.
You are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code. You will have a chance to work with a team of talented AI researchers and engineers to optimize and deploy the state-of-the-art Large Language Models to our flagship Generative AI products. Our ideal candidate is a dependable backend engineer who also has at least some experience working with and around machine learning systems.
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
You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to Industrial Clients all over the world
Solve concrete industrial data problems by designing and implementing APIs and robust services on top of Cognite Data Fusion
Design and implement highly scalable backend services powering Cognite’s Gen AI products
Work closely with Product Management & TPMs to translate product requirements into software architectures
Provide technical leadership to implement best practices for software development Who You Are
BS/MS degree in a relevant technical discipline such as Computer Science, and Computer Engineering
5+ years of software engineering experience in one or more well-established backend programming languages, such as Python, Kotlin, or C#
Experience in building and deploying scalable cloud based backend services and APIs
Familiar with Kubernetes, Docker, and AWS, Azure or GCP
Experience with Knowledge Graphs and Graph databases like Neo4j
An excellent communicator with strong organizational, problem-solving, debugging and analytical skills
Demonstrated technical leadership in a cross-functional distributed team environment
Well-structured, efficient, and maintainable code writing skills
Preferred Qualifications:
Experience using large language models through code (such as model services from OpenAI, Anthropic, or Cohere; and/or open source models such as LIama)
Experience with any stages in the ML development lifecycle (e.g. data labeling, data curation, data cleaning, model training, model evaluation, model serving, LLM prompting, etc) 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.
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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.