Backend Engineer: Real-Time ML Streaming & AI Platform

MaC VC; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity for early team members

401k for US team members

Brand new hardware

Job summary

Safari AI in Miami is building a live-streaming analytics platform for enterprise computer vision applications. You will own the backend data pipeline, scale real-time processing, and contribute to greenfield projects in Python and systems programming.

We value hands-on builders who read docs, ask for help when unsure, and enjoy ownership of a project in a small, collaborative team. You will work on AWS, Kafka, and Kubernetes in a fast-moving startup.

Qualifications

• 4+ years software experience in Python.

Responsibilities

• Build and scale our ML data live streaming analytics platform (Python).
• Lead and contribute to greenfield internal projects to extend and optimize existing real time processing needs (Python and/or Rust).
• Design and implement reliability backend services (Python).

Skills

Python

Live data streaming

AWS

Rust migration

Kubernetes

Tools

Kafka

Pulsar

InfluxDB

Job description

About Safari AI

Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Tennessee Titans, and more.

Leadership & Culture

Safari AI is founded by Ali Vahabzadeh, who has a meaningful exit under his belt and has managed large, high-performing Go To Market and Engineering teams. The company is headquartered in Miami with the Engineering team co-located in Vancouver.

About You And How You Succeed At Safari AI

You're excited to build a product and invent a market that hasn't existed before. You read documentation first and are not afraid to ask for help when uncertain. You're looking to take ownership/run a singular project and take advantage of the freedom and culture an early stage startup can provide. You are looking to see through the fluff of the modern AI landscape and explore new ways of achieving measurable ROI. Enjoy a small team size ~10, project team of 1-3.

What you'll do

• Build and scale our ML data live streaming analytics platform (Python)
• Lead and contribute to greenfield internal projects to extend and optimize existing real time processing needs (Python and/or Rust)
• Design and implement reliability backend services (Python)

What we're looking for

• 4+ years software experience in Python
• Proficiency with live data streaming and real-time analytics, (Kafka/Pulsar/InfluxDB)
• Experience in AWS cloud infrastructure and services
• Experience migrating services to Rust for improved performance and reliability
• Experience with Kubernetes and tools for orchestration

What we provide

• Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision AI
• Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
• Competitive salary and meaningful equity for early team members
• Unlimited vacation days
• Generous health benefits (Health, Vision, Dental)
• 401k for US team members
• Brand new, top of the line hardware and whatever else you need to help you win

Note: We are not considering any recruiters or agency. Please do not contact.

Why bet on Computer Vision and Safari AI?

1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
2. Already the market leader in enterprise CV by working with industry leaders with billions in revenue
3. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
4. Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
5. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
6. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale