NineTwoThree Studio
Artificial Intelligence • SaaS • B2B
NineTwoThree Studio is an award-winning software design, engineering, and marketing studio headquartered in Boston, MA. The company specializes in building AI, web, and mobile applications for established brands and funded startups. With a focus on agile methodology, design thinking, and impeccable engineering, NineTwoThree Studio provides custom software development, generative AI, machine learning, and go-to-market strategies. They are known for their innovative solutions that help brands scale and iterate, supported by a team of 70 experts. The studio has successfully built 75 products and 14 startups, earning recognition as the #1 Boston Agency for four years in a row. They work across multiple industries, offering services in design sprints, product strategy, and mobile app development.
ML Engineer (Focus on NLP Technologies)
Job not on LinkedIn
August 21
NineTwoThree Studio
Artificial Intelligence • SaaS • B2B
NineTwoThree Studio is an award-winning software design, engineering, and marketing studio headquartered in Boston, MA. The company specializes in building AI, web, and mobile applications for established brands and funded startups. With a focus on agile methodology, design thinking, and impeccable engineering, NineTwoThree Studio provides custom software development, generative AI, machine learning, and go-to-market strategies. They are known for their innovative solutions that help brands scale and iterate, supported by a team of 70 experts. The studio has successfully built 75 products and 14 startups, earning recognition as the #1 Boston Agency for four years in a row. They work across multiple industries, offering services in design sprints, product strategy, and mobile app development.
📋 Description
• 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.
🎯 Requirements
• Knowledge of Machine Learning fundamentals. • Background in integrating ML models into data-driven systems. • Experience with Python and SQL, along with expertise in NLP and LLMs. • Ability to quickly adapt to new technologies and problem domains. • Familiarity with ML deployment and monitoring. • Proven experience in machine learning and natural language processing. • An understanding of general LLM architecture and limitations, as well as features of modern LLMs. • Experience with cloud computing services, preferably AWS. • Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch. • Excellent problem-solving skills and ability to work independently. • Strong communication skills and ability to collaborate in a team environment. • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Fluent in English for effective collaboration with our international team.
🏖️ Benefits
• 100% remote job. • Paid vacations, sick leave, and holidays. • Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible. • Accounting assistance. • Well-being budget. • Reimbursement of expenses for professional development courses/certifications. • Hardware upon business needs. • Collaborative and innovative work environment with continuous opportunities for learning and growth.
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