As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF JOB
A Staff Machine Learning Engineer plays a pivotal role in leading and architecting complex machine learning projects, often acting as a bridge between technical teams and senior management. They are responsible for designing advanced algorithms, mentoring junior engineers, and driving strategic decisions to effectively integrate AI solutions into business processes.
At Welocalize, we embrace a flexible, delivery-focused culture where success is measured by results, not rigid schedules.
Team members are trusted to manage their own time, as long as commitments and deliveries are met.
The core hours are 4pm–6 pm CET, were our global team, from the west coast of US to India, is simultaneously online.
Important cross-team meetings often take place in that time slot.
Welocalize is committed to equal opportunities and in compliance with the General Law on the Rights of People with Disabilities, this vacancy is also available and we encourage those candidates who have a disability certificate (equal to or greater than 33%) to apply.
Job Reference: #LI-JC1