Meetsta
Enterprise • Productivity • B2B
Meetsta is a company that focuses on enterprise solutions. It offers a range of services that may include corporate partnerships and information systems. Meetsta provides platforms and tools designed to enhance business operations and drive productivity for corporate clients.
AI/ML Developer - New Grad - Founding Engineer
Job not on LinkedIn
April 28
🇺🇸 United States – Remote
đź’µ $1 - $2 / year
⏰ Full Time
⚪️ Entry-level
đź–Ą Software Engineer
Meetsta
Enterprise • Productivity • B2B
Meetsta is a company that focuses on enterprise solutions. It offers a range of services that may include corporate partnerships and information systems. Meetsta provides platforms and tools designed to enhance business operations and drive productivity for corporate clients.
đź“‹ Description
• Meetsta is a dynamic and innovative social networking platform. • We seek an AI/ML Engineer to help us create, train, and re-train custom small-language models (SLM) and large-language models. • Your ultimate goal will be to shape and build efficient self-learning applications. • Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Train and retrain systems when necessary • Extend existing ML libraries and frameworks • Keep abreast of developments in the field.
🎯 Requirements
• Experience in AI/ML Engineering and expertise in the development of mobile technologies. • Understanding of data structures, data modelling and software architecture • Deep knowledge of math, probability, statistics, modeling, and algorithms • Ability to write robust code in Javascript, Python, Java, and R • Familiarity with machine learning frameworks (like Tensorflow.js or PyTorch). • Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies • Solid understanding of the full mobile development life cycle • Must have completed or be enrolled in a graduate degree program ( MS / PhD) in Computer Science, Mathematics, or a related field at an academic institution in the United States.
🏖️ Benefits
• Equity-based.
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