AI Engineer II
Propio Language Services
Job Type
Full-time
Own Your Impact. At Propio, we don't believe careers happen to people. We believe people create them. Here, you're trusted to make decisions, challenge assumptions, drive innovation, and shape outcomes. Your success is not limited by hierarchy or tenure. It's fueled by your ambition, your curiosity, and your willingness to own your impact. If you're looking for a role where you can simply maintain the status quo, this probably isn't it, but if you're looking for a place where your ideas matter, your growth is accelerated, and your work creates meaningful impact across the world, we'd love to talk. Why Propio? Every day, communication changes lives. A patient receives care they otherwise couldn't access. A family gains critical information. A business connects with a customer. A community becomes more inclusive. These moments happen because barriers are removed. And behind those moments are Propio team members who show up every day to solve problems, innovate, and build the future. This isn't just work. This is world impact. As an AI Engineer II, you'll have the opportunity to make a meaningful contribution to the continued growth and transformation of Propio. You'll be empowered to:
- Take ownership of important initiatives and outcomes.
- Drive meaningful business results.
- Influence decisions and contribute new ideas.
- Partner with talented, high-performing team members.
- Challenge yourself through continuous learning and growth.
- Help shape the future of a rapidly growing organization.
- Design, train, and deploy neural machine translation (NMT) systems for multilingual scenarios, with emphasis on low-diffusion languages.
- Optimize models for low-resource and specialized domain languages, leveraging techniques like transfer learning and few-shot adaptation.
- Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs.
- Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback.
- Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback.
- Continuously evaluate and benchmark model performance using standardized metrics (BLEU, COMET) and custom domain-specific metrics.
- Stay current with research advancements in multilingual NLP and low-resource translation techniques.
- Take ownership instead of waiting for direction.
- Embrace challenges as opportunities to grow.
- Continuously seek better ways of working.
- Turn ideas into action.
- Hold themselves and others accountable to high standards.
- Are driven by making a measurable impact.
- Bachelor's or Master's degree in Computer Science, Computational Linguistics, Statistics, or related field.
- Strong background in NLP and machine translation systems.
- Proven experience optimizing models for low-resource or underrepresented languages.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation.
- Prior work in translation, interpretation, summarization, or cross-lingual QA
- Contributions to open-source NLP projects and translation quality projects
- Experience working with speech-to-text pipelines or multimodal systems
Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process.AI may be used to identify patterns, highlight relevant skills, and experience, and assist in comparing a candidate's qualifications with the requirement of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.
Vacancy posted 4 days ago
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