About the Role:
Language I/O is seeking a talented and passionate Machine Learning Engineer to join our growing team. In this role, you will design, develop, and deploy cutting-edge machine learning solutions, with a focus on leveraging large language models (LLMs) to solve real-world problems. You will be a key contributor to the development of innovative applications that push the boundaries of what's possible with AI.
About the Company:
Language I/O is dedicated to revolutionizing customer support by providing accurate, secure, and real-time machine translation services. Our mission is to break down language barriers, enabling businesses to seamlessly communicate with their global customer base. We utilize cutting-edge technology to deliver high-quality translations, ensuring that every interaction, regardless of language, is smooth and efficient. By fostering a more inclusive and accessible customer experience, Language I/O empowers businesses to build stronger relationships and foster customer loyalty across international markets.
Responsibilities:
Collaborate with cross-functional teams (product, engineering, QA, DevOps) to define product requirements and translate them into technical solutions.
Build applications that leverage the power of Large Language Models to solve complex business problems.
Develop and maintain data pipelines for efficient data ingestion, processing, and feature engineering.
Stay up-to-date with the latest advancements and research in machine learning, particularly in the field of Large Language Models.
Requirements:
At least 3-5 years of proven experience in machine learning and/or software engineering.
Strong coding skills in Python.
Proven experience building applications with Large Language Models. Experience with Google's Gemini is a plus.
Proficiency in SQL, with PostgreSQL experience being a plus.
Excellent communication skills, both written and verbal.
Nice-to-haves:
Experience working in a Scrum environment.
Familiarity with AWS cloud services.
Proficiency in reading and writing in languages other than English.
General NLP experience, including text embeddings and cosine similarity.
Understanding of traditional machine learning concepts, such as supervised and unsupervised learning.
Experience with REST APIs.
This is a full-time, remote position that offers a robust benefits package and competitive salary. Open to applicants anywhere in the United States who are authorized to work for any employer without sponsorship.
Language I/O provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training