Machine Learning Engineer
5 days ago
🏡 Remote – Anywhere in California
Description
•Develop and Manage AI/ML Infrastructure and Lifecycle: Build and maintain scalable and reliable AI/ML infrastructure to support model deployment, monitoring, and optimization. •Design, Develop, and Deploy Models (especially LLMs): Integrate and deploy foundational generative AI models. •Collaborate within a Cross-Functional Team: Work closely with product managers, product developers, threat analysts, and data scientists. •Keep Pace with Research: Stay updated with the latest research in machine learning and cyber security.
Requirements
•Most importantly, a passion for ensuring data quality, observability, and model performance through effective monitoring, validation, and data collection practices. •Masters/PhD (or Bachelor’s with equivalent experience) in computer science, statistics, mathematics, or related field, or equivalent work experience •2+ years of experience in data science, machine learning, or data analytics •Proficient in one or more programming languages, such as Python, R, or Scala •Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn •Experience with cloud platforms and services, such as AWS, Azure, or GCP
Benefits
•Top-of-market competitive salary, bonus, and equity package •100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family •Unlimited PTO, with your manager’s approval •Flexible work environment where you manage your work day •A remote-first environment, with occasional travel to collaborate with customers, your team, and teammates from across the company in person •Home office reimbursement •14 weeks of fully-paid parental leave
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