MindBridge Analytics Inc. is hiring an AI Research Scientist to combine research and hands-on experimentation, designing and validating advanced machine learning solutions. In this individual contributor role, you will collaborate with AI Architects and data scientists to drive innovation in deep learning, NLP, and GPU-accelerated computing, shaping our technical direction.
What You'll Do
- Investigate and design novel algorithms in machine learning and AI, with emphasis on deep learning architectures, transformers, and generative models.
- Leverage GPU acceleration frameworks (e.g., RAPIDS, CUDA, PyTorch, TensorFlow) to optimize large-scale experimentation.
- Stay ahead of the curve in AI by evaluating and adapting the latest advances into our work.
- Build prototypes that demonstrate research ideas in action, enabling rapid iteration and validation.
- Collaborate with client delivery teams to adapt research outputs to real-world challenges.
- Ensure scalability and efficiency of models through GPU-accelerated workflows.
- Work closely with Data Science Leaders to define and execute the long-term research agenda.
- Mentor data scientists in advanced techniques and help raise the team’s technical bar.
- Share findings internally (and externally, where appropriate) through presentations, blogs, or publications.
What We're Looking For
- PhD in Computer Science, Statistics, Mathematics, or related field with a strong AI/ML focus.
- Deep knowledge of machine learning, deep learning, and optimization methods.
- Experience with transformer-based models (e.g., BERT, GPT, LLaMA) and generative AI.
- Strong hands-on skills with GPU computing frameworks (RAPIDS, CUDA, PyTorch, TensorFlow, JAX).
- Applied Research Skills: Ability to design experiments, analyze results rigorously, and translate findings into practical prototypes.
- Strong ability to convey complex research concepts to diverse audiences, both technical and non-technical.
- Fulfill requirements necessary to obtain full background check.
Nice to Have
- Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL).
- Experience with large-scale distributed training and model optimization.
- Exposure to client-facing or product-driven environments, applying research in practical contexts.
Technical Stack
- RAPIDS, CUDA, PyTorch, TensorFlow, JAX
Team & Environment
You will be part of a centralized Data Science team, collaborating closely with AI Architects and data scientists.
Benefits & Compensation
- Competitive Compensation and Equity
- Flexible Work – Hybrid or Remote
- Comprehensive health benefits and wellness programs
- Professional development opportunities
- Flexible Time Off
- Company Matched Retirement Plans
- 4 company-wide digital detox days annually
Work Mode
This role follows a hybrid work model.
MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors.
