Kognitos
51 - 200 employees
💰 $20M Series A on 2023-11
Kognitos is the leader in natural language process automation. Founded in 2020, the company aims to build a future where all business applications will be written in English; where machines understand human language natively; and where interacting with a computer is as easy as communicating with a human. Kognitos is bringing seamless automation to billions of business users worldwide. For more information, visit https://www.kognitos.com
Applied ML Engineer
Job not on LinkedIn
🕒 July 2, 2025
🏢🏡 San Jose – Hybrid
💵 $120k - $240k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Kognitos
51 - 200 employees
💰 $20M Series A on 2023-11
Kognitos is the leader in natural language process automation. Founded in 2020, the company aims to build a future where all business applications will be written in English; where machines understand human language natively; and where interacting with a computer is as easy as communicating with a human. Kognitos is bringing seamless automation to billions of business users worldwide. For more information, visit https://www.kognitos.com
📋 Description
• Develop innovative methods to optimize resource usage for training and fine-tuning models. • Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism. • Work on multimodal use cases, combining text, images, and other data formats. • Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses.
🎯 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
🏖️ Benefits
• 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.
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