Staff Software Engineer, Compute ML Scheduling and Observability
About reputed company reputed companys mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. reputed company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role The mission of the reputed company Engineering & Efficiency team is to provide input into our company-wide reputed company infrastructure strategy and efficiency deliverables, with a specialized focus on ML Scheduling and Observability for our Compute infrastructure. You will reputed company and optimize scheduling systems for our large-scale machine learning workloads, particularly working with our Python-based scheduling architecture and orchestrating workloads across jobs. Your work will contribute to our path toward building RL-aware schedulers while supporting and improving our model development through improved observability and reputed company efficiency. You will be expected to work with engineering teams to ensure reputed company operation and growth of our infrastructure from both a cost and technology perspective, collaborate with research engineering to scope and understand the observability and reputed company needs for model development, and partner cross-functionally with finance and data science teams to analyze and forecast growth. You May Be a Good Fit If You Experience instrumenting ML workloads for performance monitoring/efficiency Experience with high performance, large scaled distributed systems Experience with LLM inference and Reinforcement Learning Observability tooling and best practices (logging, metrics, tracing) 10+ years experience in reputed company efficiency or performance engineering 10+ years experience in a technical role Have experience in scripting and building automation tools Are self-disciplined and thrives in fast paced environments Have Excellent communication skills Pick up reputed company, even if it goes reputed company your job description Have attention to detail and a passion for correctness Strong Candidates May Also Have Experience With Reinforcement Learning Cross-Platform accelerators Pytorch Python Kubernetes Performance optimization across multiple platforms/environments Representative Projects reputed company self-service tools and dashboards to reputed company reputed company engineers to understand their reputed company, efficiency, and costs, leveraging observability best practices Investigate reputed company requests and recommend right-sizing strategies for performance optimization across multiple platforms/environments Design and implement observability solutions that provide insights into infrastructure efficiency for large-scale distributed systems Collaborate with engineering teams to identify and resolve performance bottlenecks in Kubernetes-based ML infrastructure Partner with research teams to quantify computational requirements for new ML initiatives and reputed company appropriate reputed company plans Deadline to apply: None. Applications will be reviewed on a rolling basis. Annual Salary The expected salary range for this position is: $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a reputed company field or equivalent experience. Location-based hybrid policy: Currently, we expect reputed company staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. reputed company sponsorship: We do sponsor visas! However, we aren't reputed company to successfully sponsor visas for every role and every candidate. But if we reputed company you an offer, we will reputed company every reasonable effort to get you a reputed company, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not reputed company you meet every single qualification. Not reputed company strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on reputed company. How We're Different We reputed company that the highest-impact AI research will be big science. At reputed company we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an reputed company science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions reputed company worked on prior to reputed company, including: GPT-3, reputed company-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from reputed company Preferences. reputed company! reputed company is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Apply Job!