Staff Machine Learning Engineer

📋 Description

• Develop, construct, train, and implement machine learning models to identify sensitive information and detect malicious threats (such as phishing emails).

• Produce production-ready code to transform your ML models into functional pipelines and engage in code reviews to maintain code quality and share knowledge.

• Design scalable, dependable, and maintainable machine learning pipelines that integrate effortlessly with current backend systems.

• Investigate the latest advancements in generative AI and large language models (LLMs) as potential enhancements to our detection capabilities.

• Collaborate closely with machine learning engineers, product managers, designers, data scientists, and software engineers to ensure that machine learning projects align with business objectives.

• Maintain a competitive edge by researching new algorithms, technologies, and frameworks to improve our detection models.

• Foster a positive engineering culture through active participation and mentorship.

⛳️ Requirements

• Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline, or equivalent work experience.

• Over 8 years of experience (or a Ph.D. with 6+ years) in machine learning, data science, or related areas, including at least 3 years in a senior or staff engineering position.

• Profound understanding of supervised and unsupervised learning techniques as well as large language models (LLMs).

• Extensive experience in creating efficient and effective data pipelines.

• Hands-on knowledge of constructing efficient end-to-end ML workflows and a strong commitment to overseeing the entire model development process from inception to deployment and maintenance.

• Familiarity with machine learning libraries (such as scikit-learn, Pandas).

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development