Senior Machine Learning Engineer - Ai

Posted 3 Days Ago
Hiring Remotely in United States
Remote
Senior level
Cloud • Information Technology
Wasabi is focused on just one thing: being the largest pure play cloud storage provider in the world.
The Role
The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
Summary Generated by Built In

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.

Top Skills

Go
Java
Python

What the Team is Saying

Sean
Natassia
Mike
Kaylee
Rob Webster
Julie
Chelsea Taxter
The Company
HQ: Boston, MA
400 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

Recognized as one of the technology industry’s fastest growing companies, Wasabi is on a mission to store the world's data by making cloud storage affordable, predictable and secure. With Wasabi, visionary companies gain the freedom to use their data whenever they like without being hit with unpredictable fees or vendor lock-in. Instead, they’re free to build best-of-breed solutions with the industry’s fastest-growing ecosystem of independent cloud application partners. Customers and partners all over the world trust Wasabi to help them put their data to work so they can unlock their full potential.

In September 2022, Wasabi achieved unicorn status following $250M in funding. To date, Wasabi has raised over $500M at a $1.1B valuation.

As leaders in our community, Wasabi strives to always inspire by example and give to those who are most in need. We team up with our partners in a purposeful way to create corporate social responsibility initiatives that will make a true impact in a way that is authentic to who we are. Our community engagement programs include Veteran Support like the Run to Home Base, Female Empowerment, Educational Opportunities, Non-Profit Storage Donations, and more. We also created a unique music and arts CSR program to bring the power of music and the arts to those who need it worldwide. The Red Hot Beats program launched with our partners at the Liverpool Football Club Foundation promotes mental health and wellness through music therapy for young people in the Liverpool area. Meanwhile our founding partnership of the MGM Music Hall at Fenway supports arts access, education, and opportunity for students and emerging artists in New England.

Why Work With Us

At Wasabi, we know that product alone does not make a company. We empower our employees to thrive by prioritizing their personal lives and showing trust in their abilities, and as a result, they bring remarkable energy and enthusiasm to their careers at Wasabi.

We have team members from every corner of the globe, including the US, Europe, & Asia.

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Wasabi Technologies Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Wasabi has a full remote work policy. However it maintains its corporate office and encourages employees to use it when they need to.

Typical time on-site: Flexible
HQBoston, MA
JP
Amsterdam, NL
Frankfurt am Main, DE
London, GB
Paris, FR
Sydney, AU
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