Our client is seeking a Machine Learning Engineer to design, develop, and deploy advanced machine learning applications to solve challenges and deliver tailored ML solutions.
Requirements
- 2+ years with experience in PyTorch; TensorFlow a plus
- Strong software engineering skills in Python
- Deep understanding of ML fundamentals and experience building/deploying ML models from scratch in production
- Hands-on experience with large-scale, distributed systems and deploying ML in production environments
- Familiarity with ML Ops tools and practices, Git, Unix/Linux, Docker, and cloud platforms
- Background in applied ML areas such as computer vision, generative AI, graphics, or simulation
Responsibilities
- Design, develop, debug, and deploy advanced machine learning applications using frameworks such as PyTorch and TensorFlow
- Build and implement ML models across diverse domains, including computer vision, generative AI, and optimization
- Own the full ML lifecycle, from data preparation and training to deployment, monitoring, and performance tuning
- Evaluate and benchmark academic research, ML tools, and emerging applications to identify innovative approaches
- Stay at the forefront of ML research, assessing new trends and translating them into solutions that support company needs
- Optimize ML models for production environments, ensuring scalability and efficiency
- Contribute to internal ML infrastructure and tooling, improving workflows for future projects
Other
- Master’s degree in Computer Science or related field
- 7+ years of experience as a Machine Learning Engineer with proven tenure
- Share knowledge internally and contribute to external publications when appropriate
- Facilitate technology transfer between company, external research groups, and partners
- Collaborate closely with creative and technical teams across in the company to understand challenges and deliver tailored ML solutions
- Communicate complex ML concepts clearly to both technical and non-technical stakeholders
- Maintain high engineering standards through testing, documentation, and version control
- Strong communication skills with the ability to explain technical concepts to varied audiences
- Prior experience in entertainment, media, or creative industries is a plus
