Member of Technical Staff
Location
New York, New York City, San Francisco Bay Area, Seattle, or USA (Remote), United States
Salary
$250,000 - 450,000 - Per Annum
Job Title: Member of Technical Staff
Salary: $250,000 – $450,000 + equity
Location: Hiring in NYC, Bay Area, Seatlle, or Remote (USA)
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:
If you are interested in learning more about this position or any other roles we may have open, please apply today!
Accessibility Statement:
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.
Fully Covered Medical, Dental, and Vision Insurance
Paid Time Off
Parental Leave
Free Lunches
Team Building Events
Collaborative Team environment
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