AI/ML Engineer
Phoenix
Product – Engineering /
Full-Time /
Hybrid
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 Year. In 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.
Our core product, Cognite Data Fusion (CDF), is a leading industrial DataOps platform. Building on CDF, ATLAS AI is our innovative offering designed to deliver bold, customer-centric innovation powered by artificial intelligence.
The Role
As an AI/ML Engineer in the ATLAS AI Co-Innovation team, you will help push the technical boundaries of what’s possible with industrial GenAI. You’ll design and optimize advanced AI models and agent architectures that interact with complex, real-world industrial data. You’ll operate at the technical core of customer-facing coinnovation, working closely with solution engineers, product teams, and customer data to build smart, scalable AI components that power next-generation industrial workflows.
This role demands strong AI/ML engineering skills, deep curiosity, and the ability to adapt cutting-edge research into usable, high-impact solutions.
Responsibilities:
- Model Development & Application Design and apply foundation models to domain-specific tasks, focusing on prompt engineering, reasoning workflows, and tool use with attention to accuracy, robustness, and real-world applicability.
- Agent Architecture Design Develop modular, production-ready agent workflows integrated with CDF and ATLAS AI, leveraging tools, memory, reasoning chains, and APIs.
- Tech Exploration & Integration Evaluate and integrate new GenAI tools, open-source frameworks, and APIs into ATLAS AI workflows.
- System Optimization Benchmark performance, tune retrieval and reasoning pipelines, and ensure scalability in real-world industrial deployments.
- Collaboration & Co-Innovation Work with solution engineers and customer teams to align models and agent behaviors with business value and industrial constraints.
What we’re looking for (must-have skills):
- 3+ years of experience in AI/ML engineering, with hands-on delivery of models.
- Proficiency in working with foundation models (LLMs), including:
- -Prompt engineering, evaluation, and (when relevant) fine-tuning.
- -RAG pipelines and integration with knowledge bases or vector databases.
- Strong Python skills with experience using frameworks such as LangChain, Transformers, or similar.
- Understanding of cloud-native development, model training workflows, and ML pipeline orchestration (e.g., data labeling, feature selection, model retraining).
- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.
Bonus Skills:
- Experience with Cognite Data Fusion (CDF).
- Experience integrating AI workflows with time series, asset hierarchies, or knowledge graphs.
- Deep learning or traditional ML background (e.g., model architecture selection, hyperparameter tuning, evaluation pipelines).
- Understanding of industrial data types (e.g., time series, contextual events, industrial knowledge graphs).
- Experience labeling industrial datasets, including annotation strategies and working with imperfect or sparse labels.
Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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
* In office catered lunches 3x per week via Colorfull Catering + 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 🐶!
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 sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day.
* Built In 2024 Best Places to Work in Austin, TX and Houston, TX
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.
We encourage you to follow us on Cognite 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.
