Job Title: Member of Technical Staff
Salary: $200,000 – $350,000 + equity
Location: Bay Area

Responsibilities:

• Contribute to the training and optimization of foundational generative models, including LLMs, diffusion models, and multimodal architectures (e.g., video, 3D, audio)
• Design scalable algorithms and training strategies for large-scale distributed training (multi-GPU, multi-node)
• Build core infrastructure, tools, and pipelines for data preprocessing, model training, evaluation, and deployment
• Explore and integrate cutting-edge techniques in model compression, parallelism, and efficient inference
• Collaborate across research, engineering, and product teams to align system design with product applications and deployment goals
• Stay up to date with state-of-the-art advancements in generative modeling, training infrastructure, and optimization — and publish when applicable

Requirements:

• Advanced degree in Computer Science, Machine Learning, or related field (or equivalent practical experience in training large models)
• Proficiency in Python and deep learning frameworks such as PyTorch or JAX
• Experience in at least one of the following areas:
• Large-scale model training and optimization (LLMs, diffusion, transformers, etc.)
• Scalable infrastructure for ML training (e.g., Ray, Kubernetes, distributed systems)
• Efficient data pipelines for training foundational models on multi-modal data (text, image, video, 3D)
• Systems-level contributions for compute, parallelism (e.g., FSDP, ZeRO, sharding), or inference efficiency

Familiarity with evaluating generative models, including metrics, benchmarks, and human-in-the-loop evaluation

Strong collaboration and communication skills; ability to work across disciplines and teams

Publication record in top-tier ML or systems conferences (e.g., NeurIPS, ICML, ICLR, CVPR, SOSP, MLSys) is a plus
Benefits:

• Fully Covered Medical, Dental, and Vision Insurance
• Paid Time Off
• Parental Leave
• Free Lunches
• Team Building Events
• Collaborative Team environment

If you are interested in learning more about this position or any other roles we may have open, please apply today!

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Our Commitment to Diversity, Equity, and Inclusion:
Signify’s mission is to empower every person, regardless of their background
or circumstances, with an equitable chance to achieve the careers
they deserve. Building a diverse future, one placement at a time.