Senior Machine Learning Scientist

ASUS; Boston (MA); On-site; USD 180,000 - 220,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Scientist to drive the development of cutting-edge AI solutions. This pivotal role involves leading teams, fine-tuning advanced models, and ensuring scalable workflows in a collaborative environment. The ideal candidate will possess a strong background in machine learning and deep learning frameworks, with a passion for tackling complex challenges. Join a dynamic team focused on transforming AI technologies and robotics, where your expertise will play a crucial role in shaping the future of intelligent systems. If you're ready to make an impact, this opportunity is perfect for you.

Qualifications

• 5+ years of industry experience in machine learning and AI.
• Expertise in deep learning frameworks and model training.
• Strong understanding of software development best practices.

Responsibilities

• Lead and mentor teams of machine learning scientists and engineers.
• Design and implement automated ML pipelines for deployment.
• Collaborate with cross-functional teams on software architecture.

Skills

Machine Learning

Deep Learning

Data Science

Statistics

Computer Vision

Natural Language Processing (NLP)

Problem Solving

Communication Skills

Education

Master's degree in Computer Science

PhD in Computer Science

Tools

TensorFlow

PyTorch

C++

Python

JavaScript

Go

Job description

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The ASUS Robotics & AI Center is seeking an experienced and talented Senior Machine Learning Scientist to join our global research and development team. This role is critical to driving the development, fine-tuning, and deployment of advanced machine learning solutions, including foundation models, that power the next generation of AI and robotics technologies.

We are looking for a proactive leader with deep expertise in machine learning, a proven ability to lead teams and workflows, and a passion for tackling complex challenges. The ideal candidate will bring enthusiasm for innovation, a strong foundation in AI technologies, and a commitment to delivering scalable and reliable solutions within a collaborative, multidisciplinary environment.

• Supervise, lead, and mentor teams of machine learning scientists and engineers
• Lead the productization of machine learning workflows, ensuring scalability, reliability, and efficiency in production environments
• Ensure that training and evaluation address realistic usage scenarios and that the trained models are fit for purpose
• Research, fine-tune, and deploy large-scale foundation models for diverse real-world applications
• Design automated ML pipelines for training, evaluation, and deployment, incorporating MLOps best practices
• Coordinate the design and implementation of data collection strategies and compute infrastructure for fast experimentation
• Work with data infrastructure engineers to build top-notch data infrastructure and tools
• Continuously improve fast experimentation, iterations, and exploratory data analysis to reduce time to market
• Write clean, maintainable, and well-commented source code, adhering to modern software development practices
• Work in a cross-functional team that takes ownership of the full software lifecycle
• Independently read relevant literature and share your insights and knowledge with other stakeholders
• Collaborate with other teams to make optimal software architecture design decisions
  
  
  

Requirements

• Master's degree or PhD in computer science
• 5+ years of industry work experience
• Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence
• Expertise in deep learning frameworks such as TensorFlow and/or PyTorch. Hands-on experience with training deep learning models such as CNN, RNN, graph NN, and/or foundation models. Familiarity with traditional machine learning models
• Familiarity with computer vision, NLP, and/or multimodal models
• Exceptionally strong understanding of fundamentals and problem-solving skills
• Strong verbal and written communication skills
• Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation
• Programming skills in C++, Python, JavaScript, and/or Go
• Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week and occasionally travel to Taipei for team collaboration and project needs
• Willingness to work in an office at least three days per week

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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