ML Engineer

Overview

NineTwoThree AI Studio is 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. We operate with clear processes and strong leadership, moving quickly but delivering high-quality work. Our focus spans products with positive impact in domains such as sports, health, logistics, and nuclear. We do not work on gambling, adult entertainment, or crypto. We are a remote, global team with opportunities for career growth.

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

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. 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. Occasionally, calls with West Coast clients may occur around 12 PM PST; we strive to schedule meetings earlier in the day when 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

Hiring process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: 1) a short interview with HR, 2) a second technical interview with an ML Engineer and CTO (optional), 3) a live coding technical interview, and 4) an offer.

Join NineTwoThree Studio and be a part of a team that's shaping the future with AI.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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