Deductive AI Looking for Software Engineer Intern (Fall ’24) at Mountain View, CA Full Time

Deductive AI is building the world’s first real-time reasoning engine that can help root cause and mitigate large-scale software outages by reasoning about distributed systems, code, and statistical anomalies in real-time across unprecedented volumes of telemetry data (metrics, logs, traces, and events). Our team has decades of experience in building and maintaining large-scale production systems at Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. As a company, we are extremely well-funded by some of the top VCs in the valley and are fortunate to have the backing of stellar investors and advisors.

Role Description

We are seeking interns for the fall 2024 season. This is a paid, on-site internship role at Deductive AI located in Mountain View, CA. As a Software Engineering Intern at Deductive AI, you will be building the next generation of foundational code and data processing systems that can reason on extremely large amounts of structured and unstructured data. This role involves deep technical challenges where you will be working on solving some very interesting problems at the intersection of AI, code understanding, and data analytics.

Qualifications:

• Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, or a related technical field, with a strong academic record.
• Strong foundation in computer science with competencies in data structures, algorithms, and system design.
• Familiarity with advanced programming languages such as Java, Scala, Python, Javascript or C++, with a strong grasp of algorithm optimization.
• Familiarity with machine learning frameworks and libraries, and a keen interest in applying ML techniques to real-world problems.
• Previous experience or knowledge of code and observability tools, real-time analytics, and large-scale system design is highly desirable.
• Strong analytical and problem-solving skills, and attention to detail.

What We Offer:

• Hands-on experience in a fast-growing startup with a disruptive product.
• Direct mentorship from highly experienced engineers and interaction with our renowned advisors and investors.
• A collaborative, inclusive, and dynamic work environment.
• Competitive compensation and potential for full-time opportunities.
• Opportunities to attend, publish, and speak at leading academic and industry conferences