ML Engineer
ELSA, Corp
Data: há 16 horas
Tipo de contrato: Tempo total
Remoto
Machine Learning Engineer Job Description
Department: AI team - Scoring and Metrics
Location: Lisbon or Remote
Job Type: Full Time
contact: [email protected] (Add REF: ML Engineer in the Subject line)
About Us
Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally, with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore, and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning experiences for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient VenturesGoogles AI fund, Monk's Hill Ventures, and Global Ventures.
At ELSA, our vision is to be the global leader in teaching real-time, conversational English, with the aim of helping over 1.5 billion language learners worldwide. We are here to celebrate and empower every individual on the global stage to build confidence, be understood, and share their story. Come join our very talented team of people working to make a difference with our proprietary speech recognition and AI-driven language learning technology!
About The Role
You will be joining the AI Research Team, a group of experts dedicated to advancing AI-driven language learning technologies.
We are seeking a skilled applied Machine Learning Engineer to design, develop, and deploy the core machine learning systems that power ELSA's personalized language learning experience. This role focuses on enhancing our automated scoring systems for spoken English, developing robust methods for tracking user proficiency across various skills, and contributing to the evolution of our adaptive learning algorithms. The ideal candidate has a strong foundation in machine learning, ideally with experience in speech processing or NLP, and possesses excellent programming skills. You will work closely with researchers, data scientists, and engineers to produce scalable, production-ready ML systems that directly impact millions of learners.
What You Will Do:
Apply now to maximize your talents and make a real impact!
Department: AI team - Scoring and Metrics
Location: Lisbon or Remote
Job Type: Full Time
contact: [email protected] (Add REF: ML Engineer in the Subject line)
About Us
Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally, with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore, and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning experiences for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient VenturesGoogles AI fund, Monk's Hill Ventures, and Global Ventures.
At ELSA, our vision is to be the global leader in teaching real-time, conversational English, with the aim of helping over 1.5 billion language learners worldwide. We are here to celebrate and empower every individual on the global stage to build confidence, be understood, and share their story. Come join our very talented team of people working to make a difference with our proprietary speech recognition and AI-driven language learning technology!
About The Role
You will be joining the AI Research Team, a group of experts dedicated to advancing AI-driven language learning technologies.
We are seeking a skilled applied Machine Learning Engineer to design, develop, and deploy the core machine learning systems that power ELSA's personalized language learning experience. This role focuses on enhancing our automated scoring systems for spoken English, developing robust methods for tracking user proficiency across various skills, and contributing to the evolution of our adaptive learning algorithms. The ideal candidate has a strong foundation in machine learning, ideally with experience in speech processing or NLP, and possesses excellent programming skills. You will work closely with researchers, data scientists, and engineers to produce scalable, production-ready ML systems that directly impact millions of learners.
What You Will Do:
- Develop and deploy machine learning models for ELSA's automated analysis of spoken proficiency.
- Build and maintain machine learning systems to accurately track and model user proficiency across various English language skills.
- Contribute to the research, development, and refinement of ELSA's adaptive learning system to create more personalized and effective learning paths.
- Implement and manage robust evaluation frameworks to measure model performance, analyze user impact, and guide iterative improvements.
- Collaborate cross-functionally with researchers, engineers, data scientists, and product teams to integrate ML models and features seamlessly into ELSAs platform.
- Solid understanding and practical experience with machine learning fundamentals (e.g., classification, regression, sequence modeling, evaluation metrics).
- Strong background in machine learning, preferably with experience or academic focus in speech processing or Natural Language Processing (NLP).
- Proficiency in Python and common ML/data science libraries (e.g., scikit-learn, Pandas, NumPy, PyTorch/TensorFlow).
- Strong software engineering skills, including experience with APIs, databases, testing, and software development best practices.
- Experience working with data, including preprocessing, feature engineering, and analysis.
- Master's or PhD degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
- Hands-on experience with Automatic Speech Recognition (ASR), Text-to-Speech (TTS) systems, or other speech processing techniques.
- Experience developing NLP applications (e.g., text classification, sequence tagging, language modeling).
- Experience using Large Language Models (LLMs) for classification, feature extraction, or related tasks.
- Experience with cloud stacks (e.g. AWS - including Dynamo, S3).
- Experience the true spirit of a fast-growing and well-funded Silicon Valley startup.
- Fun energetic team; international and collaborative culture.
- Opportunities to grow professionally and play a critical role in shaping the next stage of
Apply now to maximize your talents and make a real impact!
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