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Snap Inc. · 3 weeks ago

Research Scientist, Data-Centric Generative AI

Los Angeles, California

Full-time

Onsite

Senior Level

$173K/yr - $259K/yr

Snap Inc. is a technology company that empowers people to express themselves through innovative products. They are seeking a Research Scientist to lead data strategy for multimodal generative models, focusing on data acquisition and curation to enhance model performance.

Computer Software

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Own the data strategy for large-scale multimodal generative models, shaping a multi-year roadmap of model improvements through data acquisition, curation, and usage

Design, implement, and operate high-throughput data pipelines for collecting, labeling, and curating multimodal datasets

Establish experimentation and evaluation protocols for continuous assessment of data impact on model performance

Collaborate with researchers, ML engineers, and infra teams to ensure that data infrastructure integrates cleanly into training, experimentation, and production systems

Qualification

Data strategyMultimodal generative modelsMachine learningPythonGenerative AIStatisticsDeep learningData processing frameworksDistributed systemsC/C++Photography techniquesVideo-making techniquesLeadership

Required

PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of practical work experience

Demonstrated ability to define, lead, and execute challenging research or data-centric projects involving large-scale datasets

Strong theoretical foundations of generative AI and practical experience training, tuning, evaluating and modifying generative models

Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)

Proven ability to lead interns, PhD students, and junior researchers

Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature

Strong computer science fundamentals, problem solving, and programming skills (Python required, C/C++ a plus)

Preferred

Proven ability to design, collect, annotate, and evaluate large-scale multimodal datasets

Familiarity with distributed inference and training across multiple machines and cloud environments

Experience working with data processing frameworks and distributed systems (Spark, Ray Data, Flink, Beam, or similar)

Knowledge of tools and frameworks for efficient model inference: model compilation, quantization (e.g. TorchAO), custom kernels (Triton/CUDA), efficient LLM inference (e.g. vLLM), non-PyTorch runtimes (e.g. ONNX/TensorRT)

Knowledge of photography and video-making techniques, equipment and software

Benefits

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support programs

Compensation packages that let you share in Snap’s long-term success

Eligible for equity in the form of RSUs

Company

Snap Inc.

Glassdoor3.6

Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.

Founded in 2011

Santa Monica, California, US

5001-10000 employees

https://careers.snap.com/

H1B Sponsorship

Snap Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (394)

2024 (366)

2023 (332)

2022 (356)

2021 (318)

2020 (237)