Top Tech Jobs & Startup Jobs in Los Angeles, CA

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.

This job is related to testing but lacks specific responsibilities or requirements in the description.

The Sales Manager will coach and develop a team of Brand Partners, ensure quota attainment, manage the sales pipeline, and drive tool adoption, while actively participating in complex deals.

As an Account Executive, you'll manage the full sales cycle, engaging with prospects in cybersecurity and compliance, and building relationships with key stakeholders.

As a YouTube Video Editor, you'll edit long-form content, shape narratives, collaborate with producers, and create engaging stories enhanced with motion and sound design.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Director, Global Payroll oversees global payroll operations across 18 countries, ensuring accurate, compliant payroll processing, and leading a high-performing team to enhance payroll efficiency and employee experience.

As a Customer Experience hire, you will improve AI-powered support systems, resolve complex customer issues, and enhance workflows for better customer satisfaction at Kovo.

The Test Automation Engineer will develop automation frameworks, integrate testing into CI/CD pipelines, analyze results, and collaborate on product requirements.

As a Machine Learning Engineer, you will fine-tune transformer models, deploy machine learning solutions, and work with cross-functional teams on innovative projects.

The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.