Senior Machine Learning Engineer, ATLAS AI
Cognite
Software Engineering, Data Science
Phoenix, AZ, USA
Posted on Aug 27, 2025
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.
The Role
As an AI/ML Engineer on the ATLAS AI Co-Innovation team, you will build and optimize AI models and agent workflows that bring industrial data to life. Working closely with product teams, engineers, and customers, you’ll turn cutting-edge GenAI research into scalable, real-world solutions that drive smarter industrial operations. This role is perfect for someone who thrives at the intersection of innovation, problem-solving, and hands-on engineering.
Responsibilities
- 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
What We Are Looking For
- Extensive software engineering experience in building high performance, large-scale ML systems (Preferably 3+ 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.
- 3 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.
- Experience with RAG, dual encoders, or related fields strongly preferred.
- Experience with JAX.
- A track record of publications and contributions to the machine learning and natural language processing communities strongly preferred.
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 🐶!
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
* 401(k) with employer matching
* Competitive health, dental, vision & disability coverages for employees and all dependents
* Unlimited PTO
* Paid Parental Leave Program
* Employee Stock Purchase Program (ESPP)
* Employee Referral Program
* Join a team of 60+ 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
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.