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Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: ThoughtSpot
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

As a Member of Technical Staff 2, you’ll work on building and enhancing both frontend and backend systems that power our core platform. This is a great opportunity for early-career engineers to grow their skills, learn from experienced teammates, and contribute to real-world, scalable systems.

What You’ll Do:
  • Develop and implement features for frontend and backend systems that process and manage customer data.
  • Write clean, efficient, and testable code in Java, Python, Java script, or C++, contributing to the reliability of our core platform.
  • Participate in code reviews and collaborate with senior engineers to understand and improve system architecture.
  • Debug and resolve technical issues across the stack to ensure high performance and stability.
  • Work as a member of an agile team, responding quickly to business needs and continuously learning new technologies.
What You’ll Bring :
  • Strong coding fundamentals: 0-1 years of experience (including internships) with a strong proficiency in modern languages such as Java, Python, Java script, or C++.
  • Computer Science Foundation:
    Solid understanding of Data Structures, Algorithms, and Object-Oriented Design.
  • Problem Solving:
    Ability to break down problems logically and demonstrate strong analytical thinking.
  • Curiosity: A strong desire to learn about distributed systems, scalability, and database internals.
  • Collaboration:

    Excellent communication skills and the ability to work effectively in a team environment.
Mandatory and Required Skills for All Thought Spot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

  • Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
  • Hands‑on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
  • Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
  • Write effective prompts to get the most accurate and creative results from AI tools.
AI Mindset for All Spotters
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary
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