AI Image and Video Synthesis Engineer
Robert Half Technology
Description
Job Title: AI Image and Video Synthesis Engineer
Location: Fully Remote (US-based)
Job Description:
We are seeking a talented and innovative AI Image and Video Synthesis Engineer to join our team. In this fully remote role, you will work on cutting-edge AI technologies to develop and enhance image and video synthesis applications. Your responsibilities will include designing, implementing, and optimizing generative AI models while collaborating with a team of passionate professionals in a highly dynamic and fast-paced environment.
The ideal candidate will possess strong technical expertise in machine learning, deep learning, and computer vision, as well as experience with generative AI methods for image and video generation. This role is an excellent opportunity to contribute to advancements in AI research and development while enjoying the flexibility of remote work within the United States.
Key Responsibilities:
+ Develop and implement state-of-the-art generative AI algorithms for tasks such as GANs, diffusion models, view synthesis, depth estimation, and style transfer.
+ Optimize and fine-tune machine learning models to improve image and video synthesis quality, efficiency, and performance.
+ Apply deep learning techniques to manipulate and enhance video synthesis and rendering processes.
+ Collaborate with cross-functional teams to integrate image- and video-based AI solutions into products and pipelines.
+ Stay updated with the latest advancements in AI research, techniques, and tools to inform the implementation of innovative solutions.
+ Debug, troubleshoot, and resolve performance issues in code and models.
Requirements
Required Qualifications:
+ Master’s degree in Computer Science, Electrical Engineering, or a related technical field OR 4+ years of equivalent hands-on experience in machine learning.
+ Strong programming proficiency in Python and substantial experience working with PyTorch.
+ Deep understanding of core machine learning and deep learning frameworks and techniques.
+ Proven experience with generative AI models and frameworks, including but not limited to GANs, diffusion models, style transfer, and depth estimation.
+ Outstanding problem-solving, analytical, and communication skills.
+ Ability to effectively collaborate and communicate within an English-speaking team environment.
Preferred Qualifications:
+ PhD in Computer Science, Electrical Engineering, or a directly related technical field.
+ Hands-on experience with video synthesis techniques and tools.
+ Familiarity with 3D rendering, image-based rendering (IBR), and related pipelines.
+ Experience with 3D human pose and shape estimation.
+ Knowledge of advanced software engineering best practices, including version control systems (e.g., Git) and testing frameworks.
Why Join Us?
+ Fully remote work environment, allowing for flexibility and work-life balance.
+ Opportunity to work on groundbreaking AI technologies with real-world applications.
+ Collaborative and inclusive team culture that values innovation and professional growth.
+ Competitive compensation and benefits package tailored to industry standards.
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Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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