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Join Fundamental’s enterprise AI research lab to develop and evaluate foundation models. Improve model architectures, training, evaluation, and inference throughout the machine learning lifecycle.
विवरण
- Help conceive, design, implement, and evaluate machine learning models for real-world deployment
- Contribute throughout the full model development lifecycle
- Advance model performance through new architectures and training techniques
- Define and maintain rigorous evaluation protocols
- Develop approaches for efficient model training and inference
- Build research software that enables rapid experimentation and validation
आवश्यकताएँ
- Strong understanding of the complete machine learning research process
- Solid software engineering fundamentals
- Advanced Python skills and experience with machine learning frameworks
- Hands-on experience across the AI model development lifecycle
- Experience using machine learning infrastructure frameworks and tools
- Demonstrated ability to develop new machine learning methods, algorithms, and models
- Experience with GPUs or TPUs and distributed training systems
- Experience scaling models and training configurations
- Knowledge of classical machine learning methods and algorithms
- Strong knowledge of deep learning techniques
- Specialization in architecture research, distillation, evaluation, code generation, LLMs, or another relevant listed area is a significant advantage
- Experience with foundation models such as LLMs is desirable
- Published research in AI conferences is desirable
- Open-source contributions to machine learning projects are desirable
- Experience with tabular data or predictive analytics is desirable
- A strong Kaggle ranking is desirable
लाभ
- Salary and equity package with competitive compensation
- Comprehensive health insurance for employees and dependents
- Paid parental leave for all new parents, including adoptive and surrogate parents
- Relocation assistance for employees moving to one of the company’s office locations
- Mission-focused, low-ego culture that values diverse perspectives, ownership, and decisive action
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