Signify Technology
Senior Machine Learning Engineer
Signify Technology, San Jose, California, United States, 95199
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Base pay range
$300,000.00/yr - $500,000.00/yr Title: Senior Machine Learning Software Engineer Base Salary Range: $300,000-$500,000 + Equity Location: San Jose, CA (Hybrid) About the Company: We are a fast-growing 3D generative AI company focused on building tools that make creating 3D assets faster and more accessible for both professionals and hobbyists. Our technology turns text and images into 3D models efficiently, and our global team includes experts in AI, computer graphics, and software engineering. About the Role: We are seeking a Machine Learning Systems Engineer to help build large-scale, end-to-end 3D machine learning systems. You will contribute to the full ML framework, including pretraining, fine-tuning, and inference pipelines for 3D generative AI. The role requires strong hands-on engineering skills, a passion for learning, and the ability to thrive in a fast-paced, high-ownership environment. What Youll Do: Work within the AI model team to process 3D data into high-throughput pipelines and scale training infrastructure to hundreds of GPUs. Train, accelerate, and deploy machine learning models for 3D generative AI. Design and implement reliable, scalable distributed training pipelines, optimizing end-to-end training efficiency. Collaborate closely with researchers, software engineers, and content specialists to integrate AI models into production systems. Training Infrastructure Responsibilities: Build and maintain training infrastructure for in-house foundational models. Identify bottlenecks and optimize for high throughput and efficient distributed training across hundreds to thousands of GPUs. Build and maintain training clusters and job scheduling systems. Implement and maintain 3D-specific custom operators in Triton or CUDA. Inference Responsibilities: Build efficient inference endpoints with complex model pipelines. Optimize models through techniques like compilation, operator fusion, and quantization. Qualifications: Experience in machine learning or high-performance graphics. Practical understanding of at least one ML framework (e.g., PyTorch, Flax). Strong coding skills in Python and/or C++. Fast learner capable of navigating complex codebases. Performance- and efficiency-oriented mindset with attention to detail. Excellent communication skills for working in a distributed team. Seniority level: Mid-Senior level Employment type: Full-time Job function: Research Software Development Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Jose, CA . #J-18808-Ljbffr
$300,000.00/yr - $500,000.00/yr Title: Senior Machine Learning Software Engineer Base Salary Range: $300,000-$500,000 + Equity Location: San Jose, CA (Hybrid) About the Company: We are a fast-growing 3D generative AI company focused on building tools that make creating 3D assets faster and more accessible for both professionals and hobbyists. Our technology turns text and images into 3D models efficiently, and our global team includes experts in AI, computer graphics, and software engineering. About the Role: We are seeking a Machine Learning Systems Engineer to help build large-scale, end-to-end 3D machine learning systems. You will contribute to the full ML framework, including pretraining, fine-tuning, and inference pipelines for 3D generative AI. The role requires strong hands-on engineering skills, a passion for learning, and the ability to thrive in a fast-paced, high-ownership environment. What Youll Do: Work within the AI model team to process 3D data into high-throughput pipelines and scale training infrastructure to hundreds of GPUs. Train, accelerate, and deploy machine learning models for 3D generative AI. Design and implement reliable, scalable distributed training pipelines, optimizing end-to-end training efficiency. Collaborate closely with researchers, software engineers, and content specialists to integrate AI models into production systems. Training Infrastructure Responsibilities: Build and maintain training infrastructure for in-house foundational models. Identify bottlenecks and optimize for high throughput and efficient distributed training across hundreds to thousands of GPUs. Build and maintain training clusters and job scheduling systems. Implement and maintain 3D-specific custom operators in Triton or CUDA. Inference Responsibilities: Build efficient inference endpoints with complex model pipelines. Optimize models through techniques like compilation, operator fusion, and quantization. Qualifications: Experience in machine learning or high-performance graphics. Practical understanding of at least one ML framework (e.g., PyTorch, Flax). Strong coding skills in Python and/or C++. Fast learner capable of navigating complex codebases. Performance- and efficiency-oriented mindset with attention to detail. Excellent communication skills for working in a distributed team. Seniority level: Mid-Senior level Employment type: Full-time Job function: Research Software Development Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Jose, CA . #J-18808-Ljbffr