Why Us?

Our team comprises engineers from the US, Vietnam, and Ukraine. As we work closely with some of the finest startups in LA and Silicon Valley, we place great emphasis on your problem-solving skills, communication abilities, and teamwork. Rest assured, you will gain a wealth of knowledge and experience with us!

About the job

We are looking for an experienced AI Engineer to join our Spartan Team. Who is passionate about building, testing, and working closely with various stakeholders to deliver top-notch software. You will be able to solve challenging problems, work with the latest tech stack, and work with talented engineers to contribute meaningfully.

Responsibilities

• Develop and implement NLP algorithms and models, such as sentiment analysis, text classification, and chatbots.
• Prepare text data for model training by cleaning, normalizing, labeling, and vectorizing.
• Train, evaluate, and optimize NLP models, such as BERT, GPT-3, and RNNs.
• Deploy NLP models to production while monitoring their performance.
• Research advances in NLP and integrate them into existing pipelines.
• Collaborate with linguists, engineers, and product teams to identify NLP opportunities.
• Maintain documentation on NLP architectures, code, and model metrics.
• Possess good communication skills in English, including fluency and confidence in communication.

What we'll love about you

• Fluent in English, able to communicate directly with customers.
• Bachelor's degree in Computer Science or related field.
• 1+ years of experience with either one of the following programming languages Python/Java/Kotlin/Scala/Go/Rust/C#
• Excellent understanding of computer science fundamentals, data structures, and algorithms.
• Deep understanding of the value of dependency injection and testing.
• Solid coding practices, including writing technical specifications, peer code review, and unit & integration testing.

Benefit and perks

Why you'll love working here

• Challenge yourself with high and difficult goals by participating in unprecedented business models in the market.
• Work in an Agile environment that is highly flexible and open, eager to incubate any valuable idea.
• Work, interact, and learn many tech stacks with excellent product development professionals in various large corporations and startups, with the opportunity to receive on-the-job training.
• The product team follows the Scrum Agile model, and each section is considered like a small startup with autonomy, self-determination, and high responsibility for the product.