ABOUT TRANSLATED

Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language.
By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide.
Translated has been at the forefront of innovation in the language services industry, actively coordinating several European projects such as Matecat, MMT, Meetween. Through these leading AI research initiatives, Translated has collaborated with esteemed partners like FBK, Zoom Research, and Kites. These partnerships have concentrated on advancing state-of-the-art technology, steering the industry towards more efficient and intelligent solutions for machine translation and beyond.
We are looking for a Junior ML Engineer. As a Junior ML Engineer at Translated, you will contribute to deploying state-of-the-art models in production environments, converting research breakthroughs into practical solutions that enhance and expand our AI services. If you are passionate about making AI technology accessible and impactful, this position offers you the opportunity to make a meaningful impact.

REQUIREMENTS

• Master’s degree in Software Engineering, Computer Science, Machine Learning, or a related field.
• Proficiency in Java and Python.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Some hands-on experience with Retrieval-Augmented Generation (RAG) pipelines.
• Have an understanding of modern LLM architectures and an intuition for how to optimize their performance, particularly for inference.
• Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries.
• Ability to move quickly in an environment where things may be loosely defined with competing priorities or deadlines.
• Enjoys owning problems end-to-end and is willing to acquire any necessary knowledge to complete the job.
• Excellent communication and teamwork skills, with the capacity to convey technical concepts to non-expert audiences.

PREFERRED QUALIFICATIONS

• 2+ years industry/equivalent experience.
• Experience in serving and optimizing LLMs inference processes.
  We offer: full-time contract. This position requires daily in-office presence, so we are unable to accommodate fully remote work. However, we value flexibility and offer the opportunity to work up to 48 days remotely per year, allowing for a balanced and adaptable work experience.

• Deploy advanced machine learning models to address real-world challenges, transforming Translated’s research from concept to reality and developing impactful AI-driven solutions.
• Implement fast and scalable Retrieval-Augmented Generation (RAG) pipelines.
• Introduce state-of-the-art techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.
• Monitor and maintain deployed models to ensure they consistently provide value, directly impacting the role of AI in serving individuals and businesses.
• Manage project lifecycle autonomously, from planning to deployment, with guidance from senior team members.
• Collaborate with a multidisciplinary team of machine learning researchers, engineers, product owners, designers and system administrators.
• Participate in continuous learning opportunities to stay ahead in the fast-evolving field of AI and Machine Translation.