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The Senior ML Engineer will architect data pipelines, develop classification algorithms, manage data integration, and mentor team members in a cross-functional setting.

Lead accounting and tax functions including monthly/quarterly/year-end close, ledger reconciliations, financial reporting, internal controls (SOX), cash-flow and working capital reporting, and ad-hoc financial analyses. Partner with CFO and cross-functional teams, design and improve accounting policies, ensure regulatory compliance, and manage, mentor, and grow a team of accounting professionals.

Lead design and delivery of cloud-based pipelines that convert multi-sensor AV logs into VLM/VLA training datasets. Build VLM-assisted auto-labeling, generate language-grounded reasoning labels, mine rare scenarios, define dataset schemas and quality metrics, and operationalize continuous dataset delivery. Mentor engineers and partner with model teams to improve downstream model performance using distributed compute and scalable MLOps.

The Senior Machine Learning Engineer will develop end-to-end ML systems connecting perception inputs to driving behavior, enhance model performance, and mentor juniors.

Develop and maintain real-time C++ vehicle mission interface software enabling Mission Control, Remote Assistance, route management, telemetry, and vehicle status monitoring. Translate system requirements into scalable architectures, contribute to simulation and testing, integrate cross-functional systems, mentor peers, and support safety-critical automotive development and validation practices.

Analyze large-scale, multimodal vehicle and simulation data to develop safety performance indicators, quantify risk and uncertainty, build automated production analytics workflows, support incident response and decision-making, and communicate results to engineering and safety stakeholders.

Develop and deploy machine learning solutions for autonomous truck applications: EDA, deep learning model development, embedded deployment, data ingestion/curation, analytics, visualization, technical leadership, and process improvement across manufacturing and business domains.