Early-Career Applied ML Engineer

Position Overview

Kognitos is seeking an Early-Career Applied ML Engineer located in San Jose (3x/week in office) to work on cutting-edge AI solutions for enterprise automation. In this role, you will research, design, and deploy LLM-based agents and multimodal ML models, collaborating with cross-functional teams to drive scalable and impactful AI innovations.

Key Responsibilities

• Autonomous Agents: Research, design, and deploy LLM-based AI agents that perceive, reason, and act within complex interfaces.
• Multimodal Information Extraction: Implement ML models to extract and structure data from PDFs, text, images, spreadsheets, and videos.
• Agentic Workflows: Develop AI workflows that enable systems to reason, plan, and execute tasks reliably.
• Scalable AI Solutions: Deploy robust AI systems addressing large-scale enterprise needs while meeting regulatory requirements.
• Collaborate with cross-functional teams (product, engineering, business) to deliver impactful solutions.
• Stay current with emerging AI research and incorporate the latest advances into the platform.

Required Qualifications

• Educational Background: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
• Production ML Experience: Experience in developing and deploying ML models (research, internships, or previous roles).
• Programming Skills: Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Problem-Solving Mindset: Ability to tackle complex challenges in a fast-paced, dynamic environment.

Preferred Qualifications

• Exposure to agentic workflows, multi-agent systems, or reinforcement learning.
• Understanding of enterprise automation challenges in large-scale contexts.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed ML frameworks (Spark, Ray, Kubernetes).

Benefits & Perks

• Tackle the Hardest AI Problems: Solve critical challenges in a trillion-dollar hyper-automation market.
• Significant Impact: Build AI systems that can save enterprises up to 30% in operational costs.
• Growth & Mentorship: Work with a world-class team and receive guidance from seasoned engineers and researchers.
• Cutting-Edge Environment: Apply the latest AI innovations and influence major enterprise transformations.