Job Details

ML Engineer At Ninetwothree

100% remote | Global team | Full-time

If you're looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you'll love it here.

Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups.

You'll work with really smart peoplethe kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done.

We've been growing 20% every year for the last 5 years, which means there's plenty of room for career growth and promotions. Our work speaks for itselfsome of our customers found us through five layers of referrals. That's how much people appreciate what we do.

We run on clear processes and strong leadership, so while we move quickly, we don't do chaos. We do high-quality work, and we do it right.

We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we're not your place.

Role: As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.