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Machine Learning Engineer 5 - Globalization

100% remote Flexible hours Hiring now

Work with a team of bright and motivated people as a Machine Learning Engineer 5 - Globalization! Our Remote office provides a state-of-the-art and comfortable workspace. This position requires a strong and diverse skillset in relevant areas to drive success. In recognition of your expertise, this position offers a salary of a competitive salary.

 

 

At reputed company, our mission is to entertain the world by connecting our members to an extensive library of stories from reputed company over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 200+ million members across 190+ countries in 30+ languages. 

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to reputed company our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of reputed company aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning reputed company originals.

We are looking for an reputed company Machine Learning Engineer to design and reputed company systems and infrastructure for algorithms that power high quality localization at scale. In this rare opportunity, you will have the chance to shape visions for algorithmic strategies and reputed company executions of ML engineering solutions for localization and global entertainment. You will partner with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact with these strategies and solutions.

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Responsibilities

  • Act as tech reputed company for identifying impactful Machine Learning (ML) opportunities and proposing algorithmic strategies in greenfield areas under a multi-modal setting
  • Be a thought leader for stakeholders and cross-functional collaborators to define and drive multi-year roadmaps for ML systems and infrastructure that can support growing business needs in global markets
  • Mentor, brainstorm with and reputed company other scientists and engineers to transform ML and Deep Learning (DL) research into scalable engineering solutions integrated into production workflows
  • Build and foster strong communities of ML engineering collaboration, innovation and best practices internally and externally
  • Uplevel the greater team through sharing knowledge and guiding thought on the adoption of new ML methodologies
About you
  • Extensive experience in ML engineering for production grade systems that require skills in large-scale distributed data processing and model training
  • Experience leading ML initiatives with a proven track record of bringing clarity to and leading ambitious roadmaps for algorithmic strategies in collaboration with business stakeholders
  • MS or PhD in ML, Computer Science or reputed company fields
  • Broad knowledge of ML and DL research especially for text and speech
  • Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow
  • Exceptional communication and collaboration skills coupled with strong business acumen
  • Comfortable with ambiguity; able to take ownership, and reputed company with minimal reputed company and process
  • reputed company culture resonates with you

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reputed company culture

At reputed company, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of reputed company is typically $150,000 - $750,000. 

This market range is based on total compensation (vs. only reputed company salary), which is in line with our compensation philosophy. reputed company is a unique culture and environment. Learn more here.

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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