Early-Career Applied ML Engineer

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

• Autonomous Agents: Research, design, and deploy LLM‑based AI agents that can perceive, reason, and act within complex and changing UIs to enable reliable automations.

• Multimodal Information Extraction: Implement ML models to extract and structure meaningful information from PDFs, text, images, spreadsheets, and videos. Convert unstructured data into actionable insights for enterprise automation.

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

• Scalable AI for Enterprises: Deploy robust AI solutions to address large-scale enterprise needs, reducing operational expenses while aligning with regulatory policies.

Responsibilities

• Design, implement, and deploy LLM‑based agents integrated into the Kognitos platform.

• Optimize multimodal information extraction from real‑world enterprise data.

• Collaborate with cross‑functional teams (product, engineering, business) to deliver impactful solutions.

• Ensure AI systems adhere to regulatory policies and deliver measurable business value.

• Stay at the cutting edge of AI research, incorporating the latest advances into Kognitos’ platform.

Requirements

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

• Production ML Experience: Experience developing and deploying ML models (research, internships, or prior roles).

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

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

Preferred Qualifications

• Exposure to agentic workflows , multi‑agent systems, or reinforcement learning.

• Understanding of enterprise automation pain points in large‑scale contexts.

• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed ML frameworks (Spark, Ray, Kubernetes).

Why Join Kognitos?

• Tackle the Hardest AI Problems: Solve 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: Work with a world‑class team and receive mentorship from seasoned engineers and researchers.

• Cutting‑Edge Environment: Apply the latest AI innovations and see your contributions influence major enterprise transformations.

Ready to build the future of enterprise automation?
Apply now to bring your passion for AI to Kognitos 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.