Linguistc AI & ML Engineer, Welocalize
Translation & localization for global businesses
Job no longer available
Translation & localization for global businesses
1001+ employees
Job no longer available
1001+ employees
Company mission
To bridge language and AI to power global success in even the most complicated and regulated environments.
Role
Who you are
- The ideal candidate will have extensive experience in computational linguistics, machine translation (MT), and multilingual AI models, alongside expertise in end-to-end machine learning (ML) lifecycles, large language models (LLMs), and scalable AI solutions
- Background in computational linguistics, natural language processing (NLP), or language technology
- Deep understanding of the full ML lifecycle, including development, training, deployment, and maintenance
- Experience working with machine translation (MT), speech-to-text, text-to-speech, and multilingual AI models
- Strong Python programming skills, with expertise in ML libraries such as LangChain, LlamaIndex, PyTorch, TensorFlow, NumPy, SciPy, pandas, and scikit-learn
- Proficiency in linguistic annotation, tokenization, stemming, lemmatization, and text normalization techniques
- Hands-on experience working with BLEU, METEOR, TER, and other linguistic quality metrics to evaluate translation accuracy
- Experience designing APIs for multilingual NLP applications with industry best practices
- Strong knowledge of large language models (LLMs), including open-source and commercial implementations, and their linguistic applications
- Familiarity with vector and graph databases to support multilingual Retrieval-Augmented Generation (RAG) systems
- Proficiency in cloud platforms, preferably Google Cloud Platform (GCP)
- Experience with Docker, containerization, and deployment of AI-powered linguistic models
- Proven ability to ensure that GenAI deployments are scalable, secure, and linguistically robust
What the job involves
- The Machine Learning Engineer – Generative AI & NLP Specialist will design, develop, and implement cutting-edge AI-driven systems with a strong focus on linguistics and language technology
- This role will enhance translation systems using advanced Natural Language Processing (NLP) techniques and Generative AI (GenAI)
- Design and optimize translation systems leveraging advanced NLP, Generative AI (GenAI), and linguistic expertise
- Apply linguistic principles and computational linguistics techniques to enhance model performance, particularly in multilingual and domain-specific contexts
- Ensure contextual accuracy and linguistic coherence in AI-driven translation models
- Improve performance using linguistic quality metrics like BLEU, TER, METEOR, and human evaluation benchmarks
- Take ownership of the entire machine learning pipeline, from prototyping and concept validation to scalable production deployment
- Collaborate with linguists, translators, and domain experts to refine AI models for specific industry applications
- Implement monitoring frameworks to track linguistic model performance, detect anomalies, and ensure translation reliability
- Automate pipelines for model retraining, fine-tuning, and adaptation to handle language evolution and domain-specific needs
- Deploy highly scalable multilingual inference endpoints, ensuring low-latency and high-accuracy responses
- Ensure compliance with data security, linguistic data privacy, and ethical AI standards
- Develop well-documented APIs to enable seamless integration of GenAI-powered linguistic models into applications and external systems
- Optimize data retrieval and adaptation for multilingual NLP models, evaluating Retrieval-Augmented Generation (RAG) metrics such as precision and relevance
Our take
According to the CSA, while only 16% of the global population speaks English as their native language, approximately 60% of the top 10M websites are in English. With over 250 language options, Welocalize enables companies to unlock business opportunities at a global scale by transforming and localizing its clients’ online websites and content.
The company has made an impressive number of strategic acquisitions over the years, widening its reach across a range of industries including digital content marketing, litigation support, and healthcare, and is a trusted multilingual solution for 2,000+ global company clients (including Disney, Uber, Dell, TNT, and Blackboard).
Founded in 1997, the company is currently the 4th largest language service provider in North America and the 9th largest provider globally. Welocalize is well-positioned to see continued growth as it furthers its market-leading presence, including by making moves to strengthen its leadership team moving forward.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
28% employee growth in 12 months
Company
Funding (1 round)
Nov 2010
$34m
GROWTH EQUITY VC
Total funding: $34m
Company HQ
Midtown South, New York, NY
Leadership
Paul Carr
(CEO)Prior to joining Welocalize in 2023, Paul was a President at Third Bridge Group for 4 years and a President at Axiom for 10 years. He also spent 4 years at American Express as a VP and Head of Strategy/GM of International Insurance Services.
Chris Grebisz
(CTO)Chris joined Welocalize in 2002, leaving the team in 2008 to work in leadership roles at various Software Development companies. He then returned to Welocalize in 2013 and has since led operations in the Americas and now oversees the companies digital transformation and technology development worldwide.
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