Senior Machine Learning Engineer

Boston, MA

Wasabi Technologies

With Wasabi, you pay only for what you store. Enjoy the freedom to access your data whenever you want, without fees for egress or API requests.

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Role Description: Senior Machine Learning Engineer 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. In the spirit of our disruptive approach to cloud storage our AI/ML product, Wasabi AiR resets the paradigm of how cloud storage and machine-learning compliment each other and enrich the accessibility of data. 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.

Responsibilities:

  • Drive advancements in AI, keeping up-to-date with the latest research and applying innovative techniques in production. 
  • Develop and refine computer vision algorithms for tasks such as object detection, tracking, and scene understanding, with a focus on designing and implementing NLP models and algorithms. 
  • Apply machine learning technologies to enable systems to learn and adapt to complex situations. 
  • Collaborate closely with cross-functional teams to ensure smooth integration of machine learning capabilities across projects. 
  • Perform testing, debugging, and documentation of machine learning models to ensure reliable installation and maintenance. 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Computer Vision Distributed Systems Golang Java Machine Learning ML models NLP OOP PhD Python Research Testing

Region: North America
Country: United States

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