Senior Machine Learning Engineer

November 22

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Logo of Wasabi Technologies

Wasabi Technologies

Hot cloud storage, fast, low-cost, reliable cloud storage, 100% data immutability, storage commoditization, real-time data storage and retrieval, no vendor lock-ins.

201 - 500 employees

Founded 2017

☁️ SaaS

🔒 Cybersecurity

Description

• At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. • We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. • We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. • Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API request and delivered as a single-tier solution. • Role Purpose: Wasabi is seeking an experienced Senior Software Engineer with a solid background in machine learning and software development to contribute to Wasabi AiR. • This role is perfect for candidates who thrive in team-oriented environments, enjoy mentoring, lead complex projects, and are passionate about building scalable, high-quality machine learning solutions. • *Principals only. No recruiters.

Requirements

• 8+ years in architecting, designing, developing, integrating, and supporting complex AI systems. • Proficiency in one or more object-oriented programming languages, such as Python, Java, or Golang, with experience in distributed systems. • Deep understanding of large-scale data processing systems and computing frameworks, with a proven ability to optimize and troubleshoot machine learning models. • Hands-on experience ML training and fine-tuning large models with in-house data. • Strong communication and problem-solving abilities, with the ability to document and adhere to timelines effectively. • Master’s Degree or PhD in Computer Science, Data Science, or a related field preferred.

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