Top AI & Machine Learning Jobs in Austin, TX

Architects Samsara’s marketing data and AI foundation, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Leads complex cross-functional data initiatives, translates ambiguous business needs into scalable solutions, mentors engineers, and ensures data reliability and quality. Builds and evaluates production LLM and agent systems, automates marketing and go-to-market workflows with AI, and delivers high-quality Python and SQL while supporting sales, marketing, and product teams.

Leads Samsara’s GTM AI Engineering team, building production AI agents, copilots, workflow automations, predictive models, and evaluation systems. Owns the shared AI platform, architecture, governance, observability, model routing, cost controls, and CRM intelligence. Partners with Sales, Customer Success, Support, Product, and Engineering to drive adoption and measurable business impact. This hands-on director role involves coding and prototyping approximately 70% of the time while hiring, developing, and guiding the engineering team.

Build and maintain production LLM-based agents and automated digital customer success journeys. Analyze customer behavior, design playbooks and agent architectures, write Python integrations, create evaluation and regression tests, deploy and monitor production systems, and continuously improve performance. The role partners cross-functionally to increase product adoption, reduce churn risk, and improve retention and expansion across a high-volume B2B SaaS customer base.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.

Build and operate production machine learning systems for Safety AI, including low-latency APIs, data pipelines, model serving, evaluation, monitoring, and rollout infrastructure. Process large-scale camera and telematics data, optimize cloud and edge-to-cloud execution, track model performance and drift, and partner with applied scientists, firmware engineers, platform teams, and product managers to deliver reliable safety features.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.