Lead AI Research Engineer at AVEVA, focusing on prototyping and validating emerging AI technologies. Collaborating with teams to drive innovation and real - world applications in industrial software.
About the role
- AI Scientist developing state-of-the-art AI solutions for drug discovery and proximity-inducing molecules. Collaborating with cross-disciplinary teams on unsolved scientific challenges in machine learning.
Responsibilities
- Scientifically direct the design and training of large-scale, state-of-the art deep learning systems
- Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems
- Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches
- Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends
Requirements
- MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience)
- Track record of contributing to novel methods for state-of-the-art deep learning (in industry or through publications)
- Expertise in ideally several of the following topics: diffusion models, flow matching, transfusion, discrete diffusion, latent diffusion, VAEs, image generation, video generation, LLMs, multimodal LLMs, pre-training, post-training, reinforcement learning, SFT, DPO/GRPO, conditioning, classifier(-free) guidance, LORA, constrained generation scaling, distributed training, tokenization, geometric deep learning, equivariant models, structure-based drug design (SBDD), structure prediction / cofolding, curriculum learning, multi-task learning, transfer learning
- 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch
- Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly.
Benefits
- Highly competitive salaries
- Company Equity Package, everyone is a stakeholder!
- 401(k) + Company Match
- Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
- 13 Paid Holidays + Unlimited PTO & Sick Time
- Maternity leave 18 Weeks of fully paid leave + 6 weeks for Paternity leave
- In-Office Lunch (5 days per week)
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