Partner 20, Applied ML, Engineer, ASG - San Francisco
1 month ago

Job summary
We are stage agnostic.We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games,
The Role
You will join a team of highly autonomous senior ICs developing both software capabilities for the firm's investing and operating functions,
This role specifically involves leading the technical strategy architecture and implementation of machine learning systems that power the firm's internal
The Applied Software Group operates in the mode of an internal startup This is a high-visibility role that requires clear architectural vision strong software engineering fundamentals exacting communication skills and ability to engage educate our firm on technology we are developing shipping
To join our team you should be excited to architect build maintain scalable reliable ML production pipelines collaborate with ASG team integrate ML models into user-facing products serving investing partnership operating teams set evolve MLOps standards drive technical roadmap core ML infrastructure influence platform choices build cloud-native systems primarily GCP operate high autonomy owning outcomes proactively identifying gaps raising technical bar for team Set standard code quality system design producing clear principled extensible solutions scale with firm Bring positive energy interaction with team foster inclusive collaboration learn inner workings VC work closely investing partnership Minimum Qualifications years professional experience Machine Learning Engineer or similar role Strong mathematical intuition problem-solving skills expertise Python statistical modeling ecosystem solid experience major ML frameworks deploying managing ML models production environment tools Kubeflow TFX strong understanding containerization technologies Docker Kubernetes/GKE familiarity cloud computing environments data storage compute services Low ego high empathy capacity collaborate effectively diverse teams.
Job description
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