Total 65 job vacancies by Marine Online (singapore) Pte. Ltd.

Descriptions:

• Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
• Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
• Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
• Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.

Requirements:

• Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• LLM. AIGC required.

Descriptions:

• Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
• Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
• Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
• Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.

Requirements:

• Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• LLM. AIGC required.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Job Overview:

As an AIGC Image & Video algorithm engineer, you will be responsible for pushing the boundaries of image & video generation technology for online AI applications. You will design and implement advanced image & video generation models capable of generating target images with different styles (e.g., in news, gaming applications). Additionally, you will stay abreast of the latest research developments in the image & video generative-AI technology field to ensure our solutions remain industry-leading.

As an AIGC Image & Video Algorithm Engineer in Singapore, you will design and implement image & video generation models to support the content generation tasks in AI application. Key domains of focus include text to image generation, image to image generation, text to video generation, and image to video generation.

Responsibilities:

• Investigate and apply the latest image/video generation models for various AI applications (e.g., gaming and news).
• Design and develop the text to image, image to image, text to video generation methods based on application objectives.
• Fine-tune the image and video generation models based on different targets, e.g., to generate images/video in different styles.
• Develop and train other relevant models (e.g., LoRA, ControlNet) to optimize generative content quality.
• Model inference and speed optimization to achieve online application latency requirements.
• Ability to identify the reasons on generated image/video quality issues, and find out possible solutions.

Qualifications:

• Bachelor degree and above in Computer Science, Artificial Intelligence, Electronic Engineering, Data Science or related fields.
• Hands on experiences with latest image or video generation models, e.g., SDXL, SD 3 medium, stable video diffusion, etc.
• Proficient in deep learning frameworks (such as Pytorch, TensorFlow) with experience in building end-to-end online image/video generation applications (e.g., in chatbots/agents).

Job Overview:

We are seeking a Mobile AI Inference Engineer to join our dynamic team. This role involves optimizing and deploying AI models on mobile platforms such as iOS and Android to enhance the performance and responsiveness of AI-driven applications.

Responsibilities:

1. Optimize and deploy AI models on mobile devices to improve the performance and response speed of applications.

2. Collaborate with team members to analyze requirements, contribute to architecture design, and implement code for mobile inference engines.

3. Stay informed about the latest technological advancements in AI, with a focus on mobile applications, both from academic research and industry developments.

Requirements:

• Bachelor’s degree or higher in Computer Science or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Understanding of AI acceleration technologies, including model quantization and pruning.
• Familiarity with deep learning frameworks, notably PyTorch.
• Experience with mobile AI acceleration frameworks.

Location:

Singapore

Company Overview:

We are a pioneering global technology innovator committed to pushing the boundaries of human-computer interaction through cutting-edge AI technologies. As large language models rapidly evolve, we stand at the forefront of transforming digital communication experiences. To further enhance user engagement with more personalized and empathetic interactions, we are establishing a new R&D center Singapore to lead the whole team.

Responsibilities:

Strategy Formulation & Execution:

• Define and execute the strategic direction for the Singapore R&D center, focusing on leveraging advancements in large language models to refine chat experiences.
• Align projects with corporate vision and ensure the successful commercialization of innovative outcomes.

Team Building & Leadership:

• Assemble and lead a diverse team of engineers, data scientists, and AI researchers.
• Foster an open, collaborative culture that encourages innovation and maximizes team performance.

Technology Leadership & Innovation:

• Stay abreast of the latest trends in large language model technologies.
• Enhance chatbots' comprehension, emotional recognition, and natural language generation capabilities to create more authentic and engaging conversations.

Project Management:

• Oversee the entire R&D cycle from ideation to product deployment, including requirement analysis, technology selection, prototyping, development testing, and final implementation.
• Ensure project timelines and quality standards are met.

Collaboration & Networking:

• Work closely with other company departments to ensure cohesive project integration.
• Represent the company at industry conferences and academic forums, delivering presentations and building networks within academia and the industry.

Emerging Technology Monitoring:

• Track and assess the impact of emerging technologies on our business.
• Continuously explore their application potential in enhancing chat experience and maintaining our technological edge.

Requirements:

Education:

• Master’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.

Experience:

• Minimum of 8 years of relevant industry experience, including at least 3 years in a senior management position at a major tech company or reputable research institution. Proven track record in leading teams in large model or NLP projects.

Technical Expertise:

• Profound understanding of NLP, deep learning, and machine learning theories and practices. Familiarity with the latest developments in large language models (e.g., Transformer models).

Leadership:

• Exceptional leadership and personnel management skills. Capable of inspiring team members, facilitating effective communication, resolving conflicts, and driving the team towards objectives.

Innovative Thinking:

• Strong drive for innovation. Constantly exploring and experimenting with new technologies to optimize chat experiences with a user-centric approach.

Global Perspective:

• Excellent English communication skills and ability to work effectively in a multicultural environment. Adaptable to a fast-paced international workplace.

Descriptions:

• Work on projects involving natural language processing and deep learning.
• Develop models for image recognition, speech processing, or cross-modal applications.
• Use mainstream deep learning frameworks like TensorFlow or PyTorch.
• Write clean and efficient code in Python.
• Stay updated on new AI technologies and trends.

Requirements:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related fields. A minimum of 2 years of relevant professional experience is preferred.
• Strong understanding of deep learning principles and natural language processing.
• Experience in machine learning projects is required.
• Proficiency in Python programming.
• Familiarity with deep learning frameworks.
• Strong interest in exploring new AI technologies and trends.

Job Overview:

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.

We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

Responsibilities:

• Develop and implement AI-driven applications for text-to-image and text-to-video transformations to support diverse content generation needs.
• Design and enhance robust multi-GPU systems for the efficient training and deployment of large-scale generative models.
• Work closely with cross-functional teams to improve the platforms that support our AI models, focusing on performance optimization and reduction of latency in model training and deployment.
• Stay updated with the latest industry and academic developments in generative AI to integrate state-of-the-art technologies and methodologies into our operations.

Requirements:

• Bachelor in Arts, Music, Computer science, or related fields.
• Proven experience in generative models, especially in text-to-image (e.g., Diffusion-Based Models, Diffusion Transformers) and text-to-video (e.g., EMU series, MagViT) technologies.
• Developer will be assigned for the role to assist for Tech part.

Job Overview:

We are seeking a Mobile AI Inference Engineer to join our dynamic team. This role involves optimizing and deploying AI models on mobile platforms such as iOS and Android to enhance the performance and responsiveness of AI-driven applications.

Responsibilities:

1. Optimize and deploy AI models on mobile devices to improve the performance and response speed of applications.

2. Collaborate with team members to analyze requirements, contribute to architecture design, and implement code for mobile inference engines.

3. Stay informed about the latest technological advancements in AI, with a focus on mobile applications, both from academic research and industry developments.

Requirements:

• Bachelor’s degree or higher in Computer Science or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Understanding of AI acceleration technologies, including model quantization and pruning.
• Familiarity with deep learning frameworks, notably PyTorch.
• Experience with mobile AI acceleration frameworks.

Descriptions:

• Work on projects involving natural language processing and deep learning.
• Develop models for image recognition, speech processing, or cross-modal applications.
• Use mainstream deep learning frameworks like TensorFlow or PyTorch.
• Write clean and efficient code in Python.
• Stay updated on new AI technologies and trends.

Requirements:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related fields. A minimum of 2 years of relevant professional experience is preferred.
• Strong understanding of deep learning principles and natural language processing.
• Experience in machine learning projects is required.
• Proficiency in Python programming.
• Familiarity with deep learning frameworks.
• Strong interest in exploring new AI technologies and trends.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.A minimum of 2 years of relevant professional experience is preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong technical proficiency with distributed computing frameworks like Spark.
• Expertise in data management systems such as HDFS, Cassandra, NoSQL or BigQuery.

Location:

Singapore

Company Overview:

We are a pioneering global technology innovator committed to pushing the boundaries of human-computer interaction through cutting-edge AI technologies. As large language models rapidly evolve, we stand at the forefront of transforming digital communication experiences. To further enhance user engagement with more personalized and empathetic interactions, we are establishing a new R&D center Singapore to lead the whole team.

Responsibilities:

Strategy Formulation & Execution:

• Define and execute the strategic direction for the Singapore R&D center, focusing on leveraging advancements in large language models to refine chat experiences.
• Align projects with corporate vision and ensure the successful commercialization of innovative outcomes.

Team Building & Leadership:

• Assemble and lead a diverse team of engineers, data scientists, and AI researchers.
• Foster an open, collaborative culture that encourages innovation and maximizes team performance.

Technology Leadership & Innovation:

• Stay abreast of the latest trends in large language model technologies.
• Enhance chatbots' comprehension, emotional recognition, and natural language generation capabilities to create more authentic and engaging conversations.

Project Management:

• Oversee the entire R&D cycle from ideation to product deployment, including requirement analysis, technology selection, prototyping, development testing, and final implementation.
• Ensure project timelines and quality standards are met.

Collaboration & Networking:

• Work closely with other company departments to ensure cohesive project integration.
• Represent the company at industry conferences and academic forums, delivering presentations and building networks within academia and the industry.

Emerging Technology Monitoring:

• Track and assess the impact of emerging technologies on our business.
• Continuously explore their application potential in enhancing chat experience and maintaining our technological edge.

Requirements:

Education:

• Master’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.

Experience:

• Minimum of 8 years of relevant industry experience, including at least 3 years in a senior management position at a major tech company or reputable research institution. Proven track record in leading teams in large model or NLP projects.

Technical Expertise:

• Profound understanding of NLP, deep learning, and machine learning theories and practices. Familiarity with the latest developments in large language models (e.g., Transformer models).

Leadership:

• Exceptional leadership and personnel management skills. Capable of inspiring team members, facilitating effective communication, resolving conflicts, and driving the team towards objectives.

Innovative Thinking:

• Strong drive for innovation. Constantly exploring and experimenting with new technologies to optimize chat experiences with a user-centric approach.

Global Perspective:

• Excellent English communication skills and ability to work effectively in a multicultural environment. Adaptable to a fast-paced international workplace.

Job Overview:

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.

We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

Responsibilities:

• Develop and implement AI-driven applications for text-to-image and text-to-video transformations to support diverse content generation needs.
• Design and enhance robust multi-GPU systems for the efficient training and deployment of large-scale generative models.
• Work closely with cross-functional teams to improve the platforms that support our AI models, focusing on performance optimization and reduction of latency in model training and deployment.
• Stay updated with the latest industry and academic developments in generative AI to integrate state-of-the-art technologies and methodologies into our operations.

Requirements:

• Bachelor in Arts, Music, Computer science, or related fields.
• Proven experience in generative models, especially in text-to-image (e.g., Diffusion-Based Models, Diffusion Transformers) and text-to-video (e.g., EMU series, MagViT) technologies.
• Developer will be assigned for the role to assist for Tech part.

Job Overview:

As an Audio Algorithm Engineer based in Singapore, you will be at the forefront of audio technology and creative arts, pushing the boundaries of music and sound generation technology. You will design and implement advanced audio and machine learning models to enhance audio quality in products like Zoom Meeting, with key focus areas including Noise Suppression, Speaker Recognition, and Voice Activity Detection. Your work will involve creating models that understand, create, and optimize music and various sound effects, providing users with unprecedented personalized audio experiences. Additionally, you will stay informed about the latest research developments in audio technology to ensure our solutions remain cutting-edge. This role encompasses both audio research and software development.

Responsibilities:

• Collaborate with sound designers in building large audio models.
• Develop unimodal and multimodal models.
• Responsible for audio technology development, algorithm implementation, and optimization in audio and video products.
• Analyse and process large-scale audio materials.
• Maintain audio frontend quality algorithms to ensure product audio quality.
• Research and optimize large-scale audio generation models
• Explore and experiment with the latest research findings, converting them into practical product features such as automatic accompaniment generation and sound emotion simulation.

Requirements:

• Bachelor’s degree or higher in Computer Science, Signal Processing, Electronic Engineering, or related fields.
• Proficient in deep learning frameworks (such as TensorFlow, PyTorch) with experience in building complex audio generation models.
• In-depth understanding of audio signal processing, music theory, and acoustic principles.
• Ability to read and understand English scientific literature and stay highly informed on the latest research developments in audio technology.
• Deep understanding and practical experience in AIGC audio technology, SUNO, Stable Audio, particularly in audio generation and processing technologies, with a preference for those familiar with machine learning and deep learning algorithms.
• Extensive experience with Qwen Audio, and clear understanding of tasks related.

Responsibilities

• Primary role will be to provide legal advisory support to a newly-established and growing Maritime E-Commerce business division.
• Provide legal support to other support functions including IT, HR, Finance and Treasury, either for standalone matters or in conjunction with primary role.
• Secondary role will be to provide legal advisory support required for the International Trading & Bunkering (oil and gas commodities trading) and Shipping (as both Owner and Charterer) business divisions from time-to-time.
• Provide transaction-specific compliance support as needed.
• Work closely with other in-house counsels within the group based overseas on matters of common/related interest.
• Instruct and manage the work of external legal counsel as needed.
• Carry out such other ad hoc tasks as required by Management.

Requirements

• Bachelor of Laws (or equivalent) with about 2 years relevant working experience in marine time shipping
• Admission to practice in a common law jurisdiction or in the PRC will be desirable but not necessary.
• E-Commerce and M&A experience will be an advantage.
• Prior experience as an in-house counsel will be preferred.
• The ability to work both independently and as part of an inter-disciplinary team.
• Good stakeholder management skills.
• Able to balance the roles of business partner and control function.
• Flexibility with working hours; some travel (or relocation to Singapore) may be required.

Please send an updated resume to alfred.lai@marineonline.com or apply directly if you are keen to apply for this position