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Greylock Partners · 5 days ago

Founding Machine Learning Engineer

United States

Full-time

Remote

Mid, Senior Level

4+ years exp

Greylock Partners is an early-stage cybersecurity investment founded by a successful serial entrepreneur. They are seeking a Founding Machine Learning Engineer to architect core ML pipelines and codebase for an innovative security solution, ensuring research-grade ML experiments are executed in a stable and repeatable manner in the enterprise.

FinanceFinancial ServicesVenture Capital

H1B Sponsor Likely

Responsibilities

Design and train machine learning models from scratch, developing and testing new architectures on large, complex datasets

Build and optimize end-to-end training pipelines, including data preprocessing, distributed training, and experiment tracking

Tune and evaluate model performance through systematic experimentation, hyperparameter optimization, and metric analysis

Collaborate with data and infrastructure teams to manage compute resources, ensure reproducibility, and prepare models for deployment

Qualification

Machine LearningCloud Platforms (GCP/AWS)MLOpsLarge-scale ProductionCollaboration

Required

Advanced degree in CS (or a related field) with 4+ years industry experience and 1+ years working with LLM's in a large-scale production environment

Prior experience with a zero-to-one

Proven ability to collaborate across different teams and adapt to new fields

Strong background standing up training/inference pipelines in the cloud (GCP/AWS)

Good MLOps familiarity

Full end-to-end ownership

Company

Greylock Partners

We are the first partner for founders. Over 80% of our investments are the first check: Pre-Seed, Seed, or Series A. Many start on a whiteboard.

Founded in 1965

Menlo Park, California, USA

51-200 employees

https://www.greylock.com

H1B Sponsorship

Greylock Partners has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (2)

2020 (1)