SWE - Distributed
Achira · San Francisco Office
About this role
**SWE - Distributed** **Why Achira** Join a world-class team of scientists, ML researchers, and engineers reshaping the future of drug discovery. Work on cutting-edge ML infrastructure at frontier scale with massive compute, data, and ambition. Own impactful work end-to-end from ideation to deployment. **About the Role** Architect and build infrastructure for ML data generation pipelines, model training, and fine-tuning workflows across large-scale distributed systems. You'll ensure compute clusters are efficient, observable, cost-effective, and reliable while pushing the boundaries of ML development. **What You'll Do** • Design and optimize distributed compute infrastructure for ML workloads • Improve cluster observability, scheduling, and resource utilization • Research and implement cost-efficient compute solutions • Develop monitoring and performance tuning tools • Collaborate with ML engineers to accelerate pipelines • Stay current with distributed computing technologies (Ray, Kubernetes, Spark, Slurm) **About You** • Experience building/working with distributed frameworks (Ray, Dask, Celery) • Strong grasp of parallel computing, job scheduling, and resource management • Proficient at identifying and resolving performance issues in distributed systems • Experience with cloud platforms (AWS, GCP, Azure) and orchestration (Kubernetes, Slurm) • Familiar with ML frameworks (PyTorch, TensorFlow, JAX) and MLOps best practices **Eligibility** All persons hired must verify identity and eligibility to work in the United States.
Listing freshness
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