Lead Machine Learning Engineer

Lead Machine Learning Engineer for building AI & ML solutions and services as part of robust data collection pipelines handling large volumes of unstructured data. Design, build, and operate end-to-end ML systems from feature generation and training to low-latency inference and observability.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 8+ years of experience in the ML Engineering and Data Science field, with a focus on LLM and GenAI technologies, particularly in data collection and unstructured data processing
• 3+ years of experience in technical lead position
• Strong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), Model Context Protocol (MCP), Agentic AI, and other advanced NLP techniques
• Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake)
• Expert-level proficiency in Python, SQL, and other relevant programming languages and tools
• Proficiency in Amazon Web Services (AWS) and Google Cloud Platform (GCP)
• Strong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally
• Demonstrated ability to solve complex technical challenges and deliver scalable solutions
• Excellent communication skills with a collaborative approach to working with global teams and stakeholders
• Experience working in fast-paced environments, particularly in industries that rely on data-intensive technologies (experience in fintech is highly desirable)

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance