Wasabi Technologies
Senior Machine Learning Engineer for AI/ML product Wasabi AiR, driving advancements in AI, computer vision, and NLP, with a focus on scalability and reliability.
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Wasabi Technologies
Wasabi Technologies is seeking a Senior Machine Learning Engineer to contribute to their AI/ML product, Wasabi AiR. The role involves driving advancements in AI, developing and refining computer vision algorithms, and applying machine learning technologies to enable systems to learn and adapt to complex situations. As part of the team, you will collaborate with cross-functional teams, perform testing and debugging, and document models for reliable installation and maintenance. With a strong background in machine learning and software development, you will be expected to lead complex projects, mentor others, and build scalable high-quality machine learning solutions. Wasabi Technologies is an Equal Opportunity Employer and offers flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company.
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. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.
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
Design & implement NLP/LLM model fine-tuning, deployment, & integrations
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.
Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
