Early-Career Applied ML Engineer

Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion.

Our approach elevates debugging to English, bypassing traditional programming languages that struggle to adapt to runtime surprises. Kognitos is building "HAL"—but the friendly, helpful kind—to create systems that align AI safety with business value, solving challenges in efficient fine-tuning, multimodal reasoning, and real-world adaptability.

Our team includes top engineers from Google, Microsoft, Meta, Amazon, Pure Storage, and leading tech startups. Many of our engineers have studied at IIT, Georgia Tech, Carnegie Mellon, Stanford, UC Berkeley, University of Washington, UIUC, Caltech, and the University of Michigan.

With offices in San Jose, CA, and Bangalore, India, we’re building a global center of excellence in AI automation.

At Kognitos, you won’t just build software—you’ll help shape the future of AI-driven automation.

Early-Career Applied ML Engineer
Location: San Jose (3x /week in office)

Are you excited about working on cutting-edge AI solutions, building next-generation enterprise automation, and growing your skills in a fast-paced environment? Join Kognitos as an Early-Career Applied ML Engineer to help shape the future of software, tackling challenging problems in AI and enterprise automation.

What You’ll Work On

• Efficient Fine-Tuning
  Develop methods that reduce resource usage while training and fine-tuning AI models—ensuring high performance without compromising efficiency.

• Agentic Workflows
  Advance AI workflows where systems can reason, plan, and execute tasks reliably, minimizing errors and runtime surprises.

• Multimodal Language Models
  Contribute to projects combining text, images, and other data types, enabling adaptive enterprise automation solutions.

• Scalable AI for Enterprises
  Help address large-scale enterprise needs, creating AI solutions that can significantly reduce operational expenses.

Responsibilities

• Model Development & Deployment
  Design, implement, and deploy machine learning models with an emphasis on deterministic task execution and agentic workflows.

• Multimodal Applications
  Work on integrating diverse data formats (e.g., text, images) into AI models tailored to real-world enterprise use cases.

• Resource Optimization
  Explore and refine fine-tuning techniques to optimize resource usage and improve overall model performance.

• Compliance & Value Delivery
  Ensure AI systems adhere to regulatory policies, maintain reliability, and deliver measurable business value.

• Cross-Functional Collaboration
  Partner with product, engineering, and business teams to align AI solutions with strategic objectives.

• Continuous Learning
  Stay current with AI advancements and apply the latest research insights to enhance Kognitos’ platform.

Requirements

• Educational Background
  Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.

• Production ML Experience
  Demonstrated experience developing and deploying machine learning models (via research, internships, or prior roles).

• Expertise in Fine-Tuning & Large-Scale Models
  Familiarity with strategies to optimize large language models (LLMs) and manage resource usage efficiently.

• Programming Skills
  Proficiency in Python and experience with one or more ML frameworks (e.g., TensorFlow, PyTorch).

• Problem-Solving Mindset
  Ability to address complex challenges in a fast-paced, dynamic environment.

Preferred Qualifications

• Agentic Workflows & Multi-Agent Systems
  Exposure to or interest in advanced AI topics (e.g., multi-agent systems, reinforcement learning).

• Enterprise Automation Experience
  Understanding of automation pain points in large-scale enterprise contexts.

• Cloud & Distributed Computing
  Familiarity with cloud platforms (AWS, GCP, Azure) and distributed ML frameworks like Spark, Ray, or Kubernetes.

Why Join Kognitos?

• Tackle the Hardest AI Problems
  Engage in meaningful work, solving critical challenges within a trillion-dollar hyper-automation market.

• Significant Impact
  Build AI systems that can save enterprises up to 30% in operational costs.

• Growth & Mentorship
  Collaborate with a world-class team, gaining direct mentorship from seasoned engineers and researchers.

• Cutting-Edge Environment
  Work with the latest AI innovations and see your contributions influence major enterprise transformations.

Ready to build the future of enterprise automation?
Apply now and bring your passion for AI to Kognitos. This is your opportunity to join a top-tier team, push the boundaries of AI research, and make a direct impact on how businesses operate worldwide.

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.