Hark
Member of Technical Staff, Pretraining
San Jose · Staff+ · Full-time
Sponsorship not specified$180k-$450kDetected 83 days ago
Full-Stack DevelopmentData EngineeringLLMsAgentic AIA/B TestingResearch
About the role
- This includes working across the full stack-from data curation and large-scale training infrastructure to model architecture and optimization.
- You will play a key role in advancing the core capabilities of our models through pretraining at scale.
Responsibilities
- Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture.
- Develop and optimize data pipelines for pretraining, including large-scale data curation, filtering, deduplication, and synthetic data generation.
- Design and implement efficient training strategies for foundation models, including distributed training, scaling laws, and optimization techniques.
- Build and improve pretraining infrastructure, including training systems, data pipelines, and compute efficiency.
- Develop evaluation frameworks and internal benchmarks to measure pretraining progress and model capability.
- Collaborate with research and engineering teams to push the frontier of foundation model performance and scalability.
- Hark is an artificial intelligence company building advanced, personalized intelligence.
- We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines.
Requirements
- Proven track record of improving large-scale neural network performance through advances in pretraining data, modeling, or training systems.
- Strong experience with large-scale distributed training (e.g., Megatron, DeepSpeed, or similar frameworks).
- Experience in data-driven experimentation, systematic analysis, and debugging at scale.
- Strong ownership mindset and ability to operate in fast-paced, research-driven environments.
Nice to have
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
- This information will be shared if an employment offer is extended.
Compensation
- The US base salary range for this full-time position is between $180,000 - $450,000 annually.
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
- The total compensation package may also include additional components/benefits depending on the specific role.
- This information will be shared if an employment offer is extended.
Benefits
- One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
- The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision.
This listing is sourced directly from Hark's careers page and normalized into a canonical job model.