Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Wasabi Technologies

Wasabi Technologies

201-500 employees

Affordable, fast, secure cloud storage solutions

Data & Analytics
Financial Services

Senior

Remote in USA

Required Skills
Kubernetes
Agile
Python
Go
Development Operations (DevOps)
Computer Vision
Requirements
  • 5+ years of proven experience deploying ML models into production using Golang or Python.
  • Strong understanding and implementation of the latest research and open source capabilities in AI.
  • Strong interpersonal and communication skills, collaborating seamlessly with cross-functional teams.
  • Passion for pioneering solutions and embracing challenges.
  • Ability to work independently and juggle priorities, thriving in a hypergrowth environment.
  • Agile and adaptive mindset in a fast-paced, innovative environment.
Responsibilities
  • Develop and deploy machine learning at scale into IaaS, PaaS, or SaaS environments.
  • Orchestrate computer vision and audio processing capabilities, ensuring optimal performance.
  • Navigate, optimize, or replace operational tools, focusing on containers and Kubernetes.
  • Process video and audio files using machine learning for face, object, voice, sound, text, sentiment recognition, and detection.
  • Constantly innovate, optimizing models for maximum efficiency and performance.
  • Collaborate with full-stack developers and DevOps teams to implement code into production.

Wasabi Technologies specializes in providing cost-effective and high-speed cloud storage solutions, integrating advanced security features like ransomware protection, immutability, and offsite backups. This focus on security, combined with competitive pricing that is notably lower than major competitors like Amazon S3 and a no-fee model for egress or API requests, positions them as a leader in the cloud storage industry. Working here offers the opportunity to engage with cutting-edge cloud technology and contribute to a company that prioritizes both innovation and affordability in tech solutions.

Company Stage

Series D

Total Funding

$634.2M

Headquarters

Boston, Massachusetts

Founded

2017

Growth & Insights
Headcount

6 month growth

15%

1 year growth

25%

2 year growth

118%