What are the responsibilities and job description for the Manager AI System Infrastructure and MLOps Engineering position at Promote Project?
Manager AI System Infrastructure and MLOps EngineeringLocation
Redwood City, California, United States
Want to apply Read all the information about this position below, then hit the apply button.
Salary
30000 - 80000 a year (US Dollars)
DescriptionThe Team
The AI / ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.
As a hands-on Manager of the AI System Infrastructure and MLOps Engineering team, you will be joining the AI / ML and Data Engineering team in CZI Central Tech, with the responsibility for the stability and scalable operations of our leading edge GPU Cloud Compute Cluster. This supports our AI Researchers in their development and training of state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s mission, contributing to greater understanding of human cell function.
The Opportunity
As the Engineering Manager of the AI Infrastructure and MLOps Engineering team, you will be responsible for a variety of MLOps and AI development projects that empower our AI Researchers and help to accelerate Biomedical research across the whole of the AI lifecycle. You will guide our AI Systems Infrastructure and MLOps efforts focused on our GPU Cloud Cluster operations, ensuring that our systems are highly utilized, performant, and stable. You will be working in collaboration with other members of our own AI Engineering team as well as the Science Initiative’s AI Research team as they iterate and train their deep learning code, optimizing systems operations and in helping to troubleshoot problems encountered by jobs running on the cluster.
What You'll Do
- Help to build out the MLOPs and Systems Infrastructure Engineering team, growing the team to support the large scale capacity systems and AI training efforts we will be undertaking.
- Drive our MLOps processes and System Infrastructure Engineering efforts in ensuring that our GPU Cloud computing systems are highly utilized and stable, and proactively guide our team in implementing the instrumentation and observability tooling integral to our AI Platform.
- Own the on-call efforts for our GPU Cloud computing systems, building out the MLOps and Systems Infrastructure Engineering alerting and monitoring efforts for our leading edge Kubernetes based AI platform, including troubleshooting problems encountered on the GPU platform infrastructure and with jobs running on the cluster and computing systems.
- Responsibility for a variety of AI / ML development infrastructure, instrumentation, and telemetry projects that empower our team in supporting our users across the AI / ML lifecycle, taking a key role in simplifying and optimizing the systems and processes that are integral to our GPU Cloud Cluster operations - in an MLOps meets SRE kind of hybrid operations model.
- Mentoring and managing your team in fulfilling their roles to the best of their abilities, provide skill and career coaching to help the team members keep growing along their own career and life paths, and keep the team engaged in meaningful and interesting projects in service of our north star philanthropic mission.
What You'll Bring
Compensation
The Redwood City, CA base pay range for this role is $214,000 - $321,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.
Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts.
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
J-18808-Ljbffr
