Machine Learning Engineer

4 weeks ago


Singapore MULTIPLIER TECHNOLOGIES SG PTE. LTD. Full time
Roles & Responsibilities

We are looking for a skilled Research Scientist to develop and improve state-of-the-art techniques in text-to-speech (TTS) synthesis and machine translation (MT). The primary responsibilities of this role include:

Conducting research and developing innovative algorithms for TTS and machine translation:
Investigating and implementing advanced techniques such as neural TTS, prosody modeling, speaker adaptation, and emotional speech synthesis, streaming in of text inputs, streaming out of synthesized speech
Exploring methods to improve the naturalness, intelligibility, and quality of synthesized speech while reducing the required training data and increasing synthesis efficiency
Applying techniques such as neural machine translation, transfer learning, domain adaptation, and low-resource language translation to improve the accuracy and fluency of translations
Building data pipelines and training workflows:
Developing robust and efficient data pipelines to support large-scale model training experiments on distributed infrastructure
Utilizing big data technologies and cloud computing platforms to optimize training workflows
Conducting rigorous evaluations of model outputs:
Designing and implementing evaluation frameworks, metrics, and benchmarks specific to speech synthesis and language translation
Developing observability and explainability tools to identify and address potential issues, biases, or limitations in TTS and MT models
Collaborating with cross-functional teams:
Working closely with data scientists, software engineers, and product managers to integrate research findings into production systems

Requirements:

Strong background in machine learning, deep learning, and NLP, with a focus on speech synthesis and machine translation
Proven track record of delivering high-quality research and impactful results
Proficiency in programming languages such as Python, Java, or C++
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, MXNet)
Experience with big data technologies and cloud computing platforms (e.g., AWS, Google Cloud, Azure) is a plus
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment
This role offers the opportunity to work at the forefront of speech synthesis and language translation technology, with competitive compensation and comprehensive benefits


Skills required:

Strong background in machine learning, deep learning, and NLP, with a focus on speech synthesis and machine translation
Proven track record of delivering high-quality research and impactful results
Proficiency in programming languages such as Python, Java, or C++
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, MXNet)
Experience with big data technologies and cloud computing platforms (e.g., AWS, Google Cloud, Azure) is a plus


Tell employers what skills you have

TensorFlow
Machine Learning
Translations
Modeling
Azure
Big Data
Cloud Computing
Pipelines
Translation
PyTorch
Python
Google Cloud
Java
Machine Translation
C++
Adaptation

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