Senior AI/ML Engineer, patchstack

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.

Who are we looking for?

We’re looking for a self-disciplined professional with excellent communication skills who is fluent in the English language.

You’ll be working in a fast-paced startup environment where everybody is involved in planning the direction and growth of the company.

While we provide a lot of personal freedom, we’re looking for a solution-oriented person who is not afraid of challenges and is also happy to work on tasks that might not fall into everyday responsibilities.

If you are experienced in AI/ML and cyber-security, we encourage you to apply for this exciting opportunity and tackle the challenge of leading our small team of AI/ML Engineers.

Responsibilities:

• Develop and implement advanced NLP tasks to improve our cyber-security products.
• Train neural networks on a large corpus of data to detect and prevent cyber-attacks.
• Collaborate with cross-functional teams to design and deploy AI/ML solutions.
• Design and implement scalable data processing pipelines to ingest, transform, and analyze large volumes of unstructured and structured data.
• Evaluate the performance of machine learning models using appropriate metrics and validation techniques, and fine-tune models as needed.
• Ensure the robustness and security of machine learning models and data pipelines and adhere to best practices for data privacy and protection.
• Stay up-to-date with the latest advancements in AI/ML technologies.
• Lead and mentor our small team of ML/AI engineers.

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.

How to apply?

This is a full-time position with competitive compensation and benefits. We are an equal-opportunity employer and welcome all qualified applicants to apply. Please submit your resume and cover letter describing your experience and qualifications for this role.

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