Ml Engineer (Focus On Nlp Technologies)

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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