Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.

Lead statistical and machine learning model development for time-series and geospatial data supporting the FALCON mission. Responsibilities include feature engineering, forecasting, anomaly detection, ETL, dataset creation, algorithm evaluation, simulation, data visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to software applications, APIs, data pipelines, code reviews, troubleshooting, and iterative agile development.

Lead development of statistical and machine learning models for time-series, geospatial, kinematic, and radar data. Build analytic solutions, training datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and performance metrics. Integrate multi-source sensor data, enhance algorithms, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders in an agile environment.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

Leads Vantor’s AI-assisted software engineering strategy and transformation. Designs and prototypes agentic workflows for coding, testing, documentation, code review, and automation; evaluates tools; establishes secure governance; runs pilots; builds adoption networks; measures productivity, quality, risk, and business value; and translates evidence into executive recommendations, roadmaps, and scalable operating patterns.

Design, develop, and productionize multimodal AI systems (VLMs, reasoning models, LLMs) for geospatial data. Build end-to-end ML pipelines, experimentation frameworks, synthetic datasets, and scalable inference on cloud infrastructure while collaborating with research, engineering, and product teams.

Design, develop, and productionize multimodal AI systems (VLMs, LLMs, reasoning models) and end-to-end ML pipelines for geospatial data. Build training/experiment frameworks, synthetic datasets, scalable inference, monitoring, and collaborate with research, engineering, and product teams to deliver Earth intelligence solutions.