<p><strong>QA Automation Engineer </strong></p><p><strong>Hybrid onsite in Woodland Hills, Los Angeles, CA</strong></p><p><strong>Position Summary</strong></p><p>We are seeking a skilled <strong>QA Automation Engineer</strong> to join our dynamic team in Woodland Hills, CA. This is a <strong>hybrid position requiring 3 days per week onsite</strong>, where you will play a critical role in establishing and maintaining a robust Quality Assurance process. This is an exciting opportunity to take full ownership of QA processes, with a focus on both manual and automated testing.</p><p><strong>Compensation</strong></p><ul><li><strong>Base Salary</strong>: $110,000 - $130,000</li><li>Discretionary Bonus and Competitive Benefits</li></ul><p><br></p>
<p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
We are looking for a Senior Data Engineer with deep expertise in Palantir Foundry to design and implement robust data infrastructures that drive strategic decision-making. In this pivotal role, you will collaborate across teams to develop scalable solutions that unlock the full potential of data for operational and business success. If you thrive in fast-paced environments and enjoy solving complex problems, this position offers an exciting opportunity to make a significant impact.<br><br>Responsibilities:<br>• Design and develop scalable Ontology models, data pipelines, and operational solutions using Palantir Foundry.<br>• Collaborate with cross-functional teams to gather requirements and transform them into secure, high-quality data assets.<br>• Identify opportunities for leveraging data to drive operational efficiencies and strategic decision-making.<br>• Build and maintain data pipelines that support analytics, automation, and other business-critical functions.<br>• Ensure data integrity and availability through proactive validation, monitoring, and troubleshooting.<br>• Provide actionable insights to stakeholders by creating innovative and reliable data services.<br>• Troubleshoot and resolve issues in production and pre-production data systems.<br>• Develop internal tools to streamline deployment automation and enhance platform performance.
