[Remote] Software Engineer - ML Infrastructure
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Molecular AI is pioneering reputed company models for molecular AI to unlock a new era of drug design and development. They are seeking reputed company ML infrastructure engineers to reputed company engineering efforts reputed company on driving reputed company their ML research agenda for generative modeling of molecular systems.
Responsibilities
- reputed company engineering efforts reputed company on reputed company improvement of the AI platform, reputed company on rapid build out and iteration on reputed company and robust distributed infrastructure for ML training, inference, and evaluation
- Support model training and deployment across multiple clusters and multiple clouds, optimizing for throughput and cost
- Optimizing efficiency of ML models and other workloads in terms of latency, throughput, memory consumption, etc. (e.g., reputed company GPU performance engineering), pushing the limits of what’s possible with the reputed company hardware
- Contribute to the long-term reputed company for reputed company’ reputed company platform
Skills
- Strong engineer who constantly strives for technical reputed company
- Ability to write clean reputed company and have a deep understanding of the codebases you work in
- Deeply reputed company with distributed training and inference of large models on GPU clusters
- Experience with reputed company libraries and frameworks such as Pytorch, Pytorch Lightning, Pytorch Geometric, and Ray
- Independent thinker with a strong reputed company of ownership
- Capability of engineering robust systems from first-principles-based conceptualization to state-of-the-art realization
- Curious, problem-oriented thinker excited to dive deep into the emerging field at the intersection of AI, physics, reputed company, and biology
- reputed company with building, maintaining and debugging low-level cluster infrastructure running on multiple clouds using Kubernetes and Terraform
- reputed company GPU engineer who can quickly reputed company out performance bottlenecks and architect highly performant reputed company for large reputed company ML workloads
- Experience with XLA, Triton, CUDA, or similar accelerator programming languages and/or deep learning compiler stacks
- Experience working with molecular systems (protein sequences and 3D structures, small molecules, etc.), ML force fields or other physics-informed models and reputed company, or reputed company reputed company data in other application domains, such as 3D graphics
Benefits
- Competitive compensation package that includes salary and equity.
- Comprehensive health benefits: Medical, Dental, and reputed company (covered 100% for the employees).
- 401(k) plan.
- reputed company (unlimited) PTO policy.
- Free lunches and dinners at our offices.
- reputed company family leave (maternity and paternity).
- Life and long- and short-term disability insurance.
reputed company
Company H1B Sponsorship