Senior ML Backend Engineer

March 19

Intuition Machines

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Machine learning products and services at scale$1. .$1

machine learning and AI

51 - 200

Description

• Design, build, and maintain high reliability backend systems that scale to millions of RPS. • Work business goals into technical specs and iterative dev plans. We ship early and often, but our first customer of a new product or feature may be deploying it to 500 million people. • Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators. • Write Python and JS/TS as necessary to solve business goals. • Focus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. • Work with other backend developers to integrate your work with our infrastructure including automating observability, deployment, quality, and security. • Participate in code reviews, take part in architecture & design sessions, proactively watch for recent developments in relevant technologies and assess their applicability. • Feel confident with tasks that are not fully defined, proactively helping the team to shape and implement them

Requirements

• Thoughtful, conscientious, and self-directed people. • 4+ years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability. • In-depth knowledge of Python • Experience with orchestration platforms: Kubernetes, containerization, and microservice design. • Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven-development, CI/CD. • Bachelor's Degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience. • Excellent communication, listening and presentation skills to and with diverse audiences and experience supporting and mentoring peers. • You've led technical discussions with a team and helped drive decisions by balancing trade-offs. • College-level mathematical knowledge (linear algebra, probability theory, stats, matrix calculus). • Experience with Rust, Go, or other programming languages. • Ability to understand and write code in JS/TS. • Practical experience applying ML concepts such as optimization, classification, regression, generalization.

Benefits

• Fully remote position with flexible working hours #Li-remote • An inspiring team of colleagues spread all over the world • Pleasant, modern development and deployment workflows: ship early, ship often • High impact: lots of users, happy customers, high growth, and cutting edge R&D • Flat organization, direct interaction with customer teams