Machine Learning Engineer

February 27

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Patronusec

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Patronusec is a cybersecurity and compliance consultancy that provides comprehensive services including PCI certifications, IT compliance support, vulnerability scans, and business continuity management. The company focuses on ensuring the security of clients' data and systems, allowing them to concentrate on growing their businesses. With experience in over 60 countries and expertise in conducting certification audits, Patronusec offers tailored solutions and ongoing support for organizations seeking to enhance their cybersecurity posture.

vCISO • Cybersecurity • IT • Compliance as a Service • Cloud Security

2 - 10 employees

Founded 2023

🔒 Cybersecurity

📋 Compliance

📋 Description

• Develop state-of-the-art systems for AI evaluation. • Train language models for novel use cases. • Evaluate whether language models are aligned with human preferences. • Collect high quality, novel datasets for classification and generative tasks. • Conduct novel research on red teaming language models. • Keep up to date on current literature and synthesize findings. • Maintain a research journal and organized results logs. • Benchmark performance of models by running robust experiments. • Develop efficient, scalable systems for production use cases using AWS, Docker and Kubernetes.

🎯 Requirements

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field; PhD preferred • Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP. • Familiarity with transformer-based architectures, attention mechanisms, evaluation metrics and benchmarks • Experience training language models in applied or research settings. • Bonus if you have overcome challenges in training LLMs, scalable inference, or putting a LLM into production! • Deep familiarity with pytorch and ML tooling such as job schedulers, the Hugging Face transformers library, and Weights & Biases. • Experience conducting AI research in an academic or industry research lab. • Bonus if you have published and reviewed papers in academic conferences (NeurIPS, ICML, ACL etc.). • Ability to synthesize research papers and stay up-to-date on latest developments in research and open source. • Have good character, integrity and respect for others!

🏖️ Benefits

• Competitive salary and equity packages • Health, dental, and vision insurance plans • 401k plan • Unlimited PTO • Fun global offsites!