Staff ML Engineer

What Will You Do?

• Work directly with customers to architect machine learning solutions and lead the roadmap for scalable machine learning solutions
• Drive the development and maintenance of domain specific machine learning models that directly optimize or enrich logs for our customers
• Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
• Architect and implement state-of-the-art agentic solutions using foundational models at scale
• Lead cross-functional technical initiatives, by collaborating with Product, Engineering, and DevOps teams to translate strategic vision into technical solutions
• Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
• Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture
• Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage
• Participate in technical decision-making forums and contribute to company-wide engineering standards and practices

What Skills and Knowledge Should You Bring?

• 8+ years of software engineering experience with focus on state-of-the-art supervised and semi-supervised models that scale to high growth SaaS environments
• Expert-level proficiency in Python with deep understanding of model development stack like PyTorch and Tensorflow with a focus on inference optimization.
• Proven track record leading and scaling real-world machine learning solutions in NLP domain
• Advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale
• Strong leadership and technical communication skills with experience driving technical decisions across multiple teams and stakeholders
• Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
• Experience with technical strategy and roadmap planning for large-scale machine learning solutions
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred