Applied ML Engineer
Company: Kognitos
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
If you’re passionate about tackling some of the hardest problems
in AI and contributing to transformational change in enterprise
automation, join us at Kognitos to build the future of software.
What You’ll Work On: Efficient Fine-Tuning : Develop innovative
methods to optimize resource usage for training and fine-tuning
models, ensuring high performance while maintaining efficiency.
Agentic Workflows : Advance workflows that allow AI to reason,
plan, and execute tasks with reliability and determinism,
minimizing errors and runtime surprises. Multimodal Language Models
: Work on multimodal use cases, combining text, images, and other
data formats, to build adaptive, enterprise-ready automation tools.
Scalable AI for Enterprises : Address the needs of enterprises by
creating AI solutions that can remove 30% of operational expenses
through large-scale adoption. Responsibilities: Design, implement,
and deploy machine learning models focused on agentic workflows and
deterministic task execution. Optimize AI systems for multimodal
applications, addressing real-world enterprise challenges. Innovate
on fine-tuning techniques to maximize resource efficiency and
improve model performance. Ensure AI systems are aligned to
regulatory policies and deliver consistent business value.
Collaborate with cross-functional teams, including product,
engineering, and business stakeholders, to deliver impactful
solutions. Stay at the cutting edge of AI research, incorporating
new advancements into Kognitos’ platform. Requirements: Bachelor’s,
Master’s, or Ph.D. in Computer Science, Machine Learning, or a
related field. Proven experience in developing and deploying
machine learning models in production environments. Expertise in
fine-tuning techniques for large-scale models and optimizing
resource usage. Strong intuition working with LLMs Familiarity with
multimodal language models and their enterprise applications.
Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
Excellent problem-solving skills and the ability to work in a
fast-paced, dynamic Preferred Qualifications: Experience with
agentic workflows and multi-agent systems. Knowledge of enterprise
automation challenges and opportunities. Prior work in AI for
non-consumer use cases, especially in large-scale enterprise
environments. Familiarity with cloud platforms and distributed
computing frameworks. Why Join Kognitos? Be part of a cutting-edge
company solving some of AI’s hardest problems. Work on impactful
projects in a trillion-dollar hyper-automation market. Collaborate
with a world-class team of engineers and researchers. Contribute to
transformational changes in how enterprises operate. Final note You
do not need to match all of the listed expectations to apply for
this position. We are committed to building a team with a variety
of backgrounds, experiences, and skills. Equal opportunities
provider Kognitos is committed to fostering a diverse work
environment and proud to be an equal opportunity employer. As we
highly value diversity in our current and future employees, we do
not discriminate (including in our hiring and promotion practices)
on the basis of race, religion, color, national origin, gender,
gender expression, sexual orientation, age, marital status, veteran
status, disability status or any other characteristic protected by
law.
Keywords: Kognitos, Walnut Creek , Applied ML Engineer, IT / Software / Systems , Mountain View, California
