Applied ML Engineer

Mountain View · Remotefull timeRemote

mid

$200k–$240k

H1B: yes

Kognitos The Applied ML Engineer at Kognitos designs, implements, and deploys machine learning models focused on agentic workflows and multimodal applications. This role innovates fine-tuning techniques to optimize resource usage and ensures AI systems align with regulatory policies.

Responsibilities

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.
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.

Qualification

Bachelor’sStrong intuition working with LLMsProficiency in PythonWhy Join Kognitos?

Required

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

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.

Company

Kognitos

View company page

Source: ashby

Active within the past hour

Remote-friendly

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Bachelor’sStrong intuition working with LLMsProficiency in PythonWhy Join Kognitos?

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