1 час назад
AI Research Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist (Machine Learning): Designing, training, evaluating, and optimizing large language models, multimodal architectures, and on-device inference systems with an accent on model efficiency, privacy-preserving AI, and distributed processing. Focus on prototyping novel architectures and training methods, developing benchmarks and datasets, and integrating research findings into production systems.
Location: Austin, TX, United States; hybrid work arrangement.
Company
is building a distributed AI infrastructure platform for private, scalable, personalized AI running on standard consumer hardware and at the edge.
What you will do
- Design, train, evaluate, and optimize large language models, multimodal models, transformers, CNNs, RNNs, and diffusion architectures.
- Research quantization, compression, distillation, pruning, hardware-aware training, and on-device deployment.
- Prototype model architectures, training methods, and inference strategies for distributed AI.
- Build datasets, benchmarks, and experimental frameworks to validate model performance.
- Collaborate with research, applied AI, and platform engineering teams to integrate findings into production systems.
- Analyze experiments, document findings, contribute to papers, and present technical work.
Requirements
- 4+ years of experience, including graduate research, in machine learning research, AI model development, or a related field.
- Strong expertise in deep learning architectures and experience training and fine-tuning large-scale models.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience building datasets, designing experiments, and validating ML model performance.
- Strong understanding of optimization techniques, including quantization, distillation, pruning, and hardware-aware training.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Master’s or PhD in Machine Learning, Computer Science, AI, or a related field.
- Experience with distributed training, edge inference, on-device ML, generative AI, reinforcement learning, or multimodal learning.
- Familiarity with privacy-preserving ML, including federated learning.
- Academic publications, patents, or open-source ML contributions.
- Experience in a fast-paced, high-growth startup environment.
Culture & Benefits
- Values centered on truth, ownership, tenacity, and humility.
- Health, dental, and vision benefits for eligible U.S.-based employees.
- 401(k) match, equity options, supplemental life insurance, and parental leave.
- $200/month Health & Wellness stipend and $500/year Function Health subscription.
- Continuing Education support, Flexible Time Off, and free parking for in-office employees.
- Benefits for employees hired outside the United States may vary by local law and employment entity.
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