Data Engineer - Multimodal Systems
Zyphra · San Francisco
CHECKED 8H AGO
Frontier labonsite
At a glance
Highlights
- Be a core contributor creating and improving datasets across modalities.
- Collect large-scale text, audio, and image datasets for AI research.
- Design ablations demonstrating impact of new data improvements.
What they offer
- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k) plan
- Relocation and immigration support on a case-by-case basis
- In-office snacks and meals provided
- Unlimited PTO and company holidays
Ideal candidate
Meticulous, fast-moving researcher-engineer who loves digging into data and quickly prototyping ideas. Thrives in collaborative, high-energy research settings and cares about rigorous experimentation.
Requirements
- Strong implementation and prototyping ability
- Take ideas from conception to experimentation quickly
- Work well with others in a high-paced research setting
- Rapidly learn new fields and implement new ideas
- Excellent communication and collaboration skills
- Experience collecting and processing large datasets
- Understanding of state-of-the-art dataset curation across modalities
- Meticulous, with interest in examining and sanity-checking data
- Strong grasp of experimental methodology and ablation testing
- Proficiency with PyTorch and Python
- remote policy
- In-person in San Francisco
- visa sponsorship
- Immigration support on a case-by-case basis
Lab profile
About Zyphra
San Francisco AI lab building open language and audio models and autonomous desktop agents.
What they build
- Desktop and browser-based autonomous agents
- Open language models
- Open-source audio models (ASR, TTS, speech-to-speech)
Known for
- Agentic systems and human-AI interaction
- Reinforcement learning, post-training and preference learning
- Large-scale language model pre-training
- Novel model architectures and training methods
Key facts
- Headquartered in San Francisco, California