Early-Career Applied ML Engineer

Kognitos; San Jose (CA); On-site; USD 80,000 - 140,000; Full time

Job summary

An innovative firm is seeking an Early-Career Applied ML Engineer to revolutionize enterprise automation. This role offers the chance to work on cutting-edge AI solutions, focusing on efficient fine-tuning and agentic workflows. You will collaborate with a world-class team, tackling complex challenges in the trillion-dollar hyper-automation market. Your contributions will directly impact operational efficiencies, helping enterprises save significantly. If you're passionate about AI and eager to grow in a dynamic environment, this opportunity is perfect for you.

Benefits

Mentorship from seasoned engineers

Collaborative team environment

Opportunities for growth

Cutting-edge technology access

Qualifications

• Master’s or Ph.D. in Computer Science or related field required.
• Experience in developing and deploying machine learning models.

Responsibilities

• Design and deploy machine learning models focusing on task execution.
• Integrate diverse data formats into AI models for enterprise use.

Skills

Python

Machine Learning

Problem-Solving

Fine-Tuning Models

Education

Master’s or Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Explore exciting opportunities to join the Kognitos team and be a part of our dynamic workplace.

What We Do

We’re Kognitos, and we have built an OS for cognition that elevates machines to understand and obey human language. We have built the world’s most advanced combination of Generative AI and Logical execution that will empower most humans to innovate using computers without needing to learn how to program.

Our mission is to bring humans out of the dark ages of extremely low computer literacy and herald a future of exponential innovation fueled by a democratic access to automation for all.

The customer must succeed. Everything else is secondary.

About Kognitos

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.

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.

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.