Senior AI/ML Engineer

3 days ago

Apply Now

Receive Emails with Similar Jobs

Patchstack

WebsiteLinkedInAll Job Openings

Website Security • Website Monitoring • Web Application Security • Web Application Monitoring • Cyber Security

11 - 50 employees

Founded 2020

🔒 Cybersecurity

☁️ SaaS

🔐 Security

Description

• We are seeking a highly skilled Senior AI/ML Engineer to join our team. • The ideal candidate will have a strong background in Natural Language Processing (NLP) and be focused on training neural networks in the cyber-security space. • Patchstack is a cyber security company helping companies and software developers to identify & patch vulnerabilities in open-source code. • We have a strong community focus with our own gamified bug bounty program called Patchstack Alliance. • We provide a SaaS solution to detect and virtually patch plugin vulnerabilities. • We run a community-driven bug bounty platform (Patchstack Alliance) to nurture a community of independent security researchers behind the WordPress ecosystem. • We maintain an open and free WordPress vulnerability database. • We provide professional code review and security auditing to WordPress plugins.

Requirements

• Previous experience with AI/ML engineering with a focus on NLP and neural network training, NLP, semantic search, knowledge base creation, and training/fine-tuning LLMs. • Strong programming skills in Python. • Have experience working with Google Vertex AI or AWS Redshift, Glue, pipelines, etc. • Proficiency with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas, Hugging Face). • Experience with big data and scalable model training. • Familiarity with knowledge graphs and knowledge base construction and management. • Proven experience working with large datasets, and complex NLP projects, including code generation and advanced fact-checking. • Excellent problem-solving skills and the ability to work independently or as part of a team.

Benefits

• Highly impactful work • No corporate environment • Paid training for work-related personal development • Paid vacations (35 days a year) • Full-time telecommuting in a globally distributed team • Co-working space membership or WFH equipment for home-office • Fitness club or a local gym membership • Competitive salary • Awesome team members!