Software Engineer Intern, London

Deductive AI; Greater London; On-site; GBP 30,000 - 40,000; Full time

Benefits offered by this job

Hands-on experience in a fast-growing startup

Direct mentorship from experienced engineers

Collaborative and dynamic work environment

Competitive compensation

Opportunities to attend and publish at conferences

Job summary

A cutting-edge technology company in Camden, London, is seeking a Software Engineering Intern to work on innovative projects at the intersection of AI and data analytics. This paid, on-site internship offers hands-on experience in building foundational systems for processing large volumes of data. Interns will receive mentorship from experienced engineers and have opportunities to attend industry conferences. Strong programming skills and a background in computer science are essential. Applicants must be authorized to work in the UK.

Qualifications

• Enrolled in a Master’s or PhD program in Computer Science with a strong academic record.
• Strong foundation in computer science, data structures, algorithms, and system design.
• Familiarity with advanced programming languages and a strong grasp of algorithm optimization.
• Interest in applying machine learning techniques to real-world problems.
• Experience with code and observability tools, real-time analytics, and large-scale system design is desirable.

Responsibilities

• Work on cutting-edge technology in AI and data analytics.
• Build foundational code and data processing systems.
• Match projects based on intern's skill set and preferences.

Skills

Data structures

Algorithms

System design

Java

Scala

Python

Javascript

C++

Machine learning frameworks

Education

Master’s or PhD in Computer Science or related field

Job description

Company Description

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 to work with us on cutting edge technology. We are solving some very interesting problems at the intersection of AI, code understanding, data analytics. Our work involves distributed systems, building AI agents and fine tuning and benchmarking LLMs.

This is a paid, on-site internship role at Deductive AI located in Camden, London. As a Software Engineering Intern at Deductive AI, you will have the opportunity to build the next generation of foundational code and data processing systems that can reason on extremely large amounts of structured and unstructured data. We are able to match projects based on the skill set and preference of the intern.

Qualifications

• Enrolled in a 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.

Applicants must be authorized to work in the UK, as Deductive AI is not sponsoring UK visas at this time

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