Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Creative Director will shape Roboflow's brand voice and visual storytelling, oversee production, and manage creative launches and audience engagement.

Support Engineers at Roboflow provide consultative technical advice while managing customer issues and fostering strong relationships. They help enhance customer experience with Roboflow’s computer vision solutions and contribute to process improvements within the support team.

Implementation Engineers support project delivery of computer vision solutions, collaborate with sales, provide technical training, and enhance customer experiences through problem-solving and project management.

As a Full Stack Engineer, you will create and improve features for Roboflow's product, particularly in enterprise settings. This involves collaborating with customers, working with various tech stacks, and supporting field engineers in enhancing their capabilities in computer vision applications.

The Solutions Architect will work with sales to understand client needs, design tailored computer vision solutions, lead demos, and engage in technical discussions.

As a Developer Advocate, you will own DevRel strategy, drive adoption of tools, create content, and engage with the developer community to promote Roboflow's AI technologies.

As an Infrastructure Engineer, you will design, secure, and maintain cloud infrastructure for production SaaS workloads, manage infrastructure-as-code, ensure compliance, and automate CI/CD workflows while collaborating cross-functionally.

As an Edge Engineer, you will deploy and support computer vision hardware, manage installations, and ensure systems operate reliably in the field. You'll collaborate with customers to troubleshoot and optimize setups, while documenting processes and improvements.

The role focuses on contributing to computer vision projects, collaborating with a diverse team, and promoting a founder mentality with significant autonomy in outcomes.

As a Machine Learning Engineer, you'll optimize and deploy production ML models, build inference services, and collaborate closely with teams to integrate new models and enhance performance.