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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