Full-Time

Data Engineer

Flink & Java

Confirmed live in the last 24 hours

Safari AI

Safari AI

11-50 employees

Digital marketplace for curb space reservations

No salary listed

Senior

Remote in USA

Category
Data Engineering
Software Engineering
Data & Analytics
Required Skills
RabbitMQ
Microsoft Azure
Apache Kafka
Java
AWS
Google Cloud Platform
Requirements
  • proficient in Flink and Java
  • proficient in messaging queue frameworks such as Kafka, Pulsar, RabbitMQ, etc.
  • depth belief in our mission and strong enthusiasm in AI / data
  • 5-8 years software individual contributor experiences
  • experiences in startups and enterprises
  • proficiency in at least one of the following public cloud: AWS/GCP/Azure
  • proven record of building a complex service from scratch to production
  • experiences in delivering incremental features and maintaining reliabilities of a production service
  • good understanding in best practices in software development lifecycle (SDLC) and security compliance
Responsibilities
  • Set technical direction for streaming data processing engine
  • Hands-on implementation of streaming data processing engine
  • Practice engineering best practices for system design, coding, documentation and communication
  • Work closely with engineering team members and operation team to identify new priorities and communicate it well
  • Contribute to engineering development process improvements
Desired Qualifications
  • proven experiences of building a team and mentoring skills
  • PhD training in computer science or similar areas
  • previous startup founder experiences
  • Proficient in react / vue, and CRUD
  • Proficient in embedded CV and related framworks, such as TensorRT, Gstreamer, etc.
  • Product manager leadership in AI/ML based products

Safari AI operates in the urban mobility and logistics sector by providing a digital curb marketplace that enables commercial and on-demand drivers to reserve curb space in real-time. The company utilizes advanced computer vision technology to address issues related to curb access, safety, and congestion that affect ridesharing, delivery services, and commercial fleets. By partnering with merchants and infrastructure destinations, Safari AI offers services such as vehicle counting, illegal parking detection, and passenger counting, which enhance operational efficiency and safety for its clients, including enterprise and municipal customers. Unlike its competitors, Safari AI focuses on leveraging proprietary technology to deliver subscription-based services and data analytics, generating revenue through partnerships and service fees. The company's goal is to improve urban mobility by optimizing curb space usage and reducing congestion.

Company Size

11-50

Company Stage

Seed

Total Funding

$120K

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for contactless solutions boosts interest in Safari AI's technology.
  • Rise of smart cities drives need for Safari AI's real-time data analytics.
  • 5G expansion enhances Safari AI's real-time analytics capabilities.

What critics are saying

  • Emerging startups like AnyVision increase competition in the computer vision space.
  • Privacy concerns and legal challenges could impact Safari AI's operations.
  • Dependence on venture capital funding poses financial risks if market conditions change.

What makes Safari AI unique

  • Safari AI offers automated measurement replacing manual and outdated methods.
  • Proprietary technology provides reliable data on counts, throughput, and dwell times.
  • Serves diverse sectors including Theme Parks, CRE, and Retail with tailored solutions.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

0%

2 year growth

4%
Cities Today
Jan 31st, 2022
Curbflow launches system of real-time cameras

The following year, curbFlow rolled out a system of real-time cameras to let delivery drivers know whether parking spaces were available.