The tracking team is responsible for tracking road actors and road elements as well as estimating a temporally consistent belief of the local scene from a history of detections. As a Staff Software Engineer, you will deliver ML solutions to tracking problems in a self-driving system, such as learning probabilistic actor motion and sensor models. You'll work in a team to deliver state-of-the-art tracking systems for L4 self-driving vehicles.

This fast-paced role offers extensive growth potential for a world-class ML leader to build a team tackling challenging ML problems. As Head of AI Agent / Staff ML Engineer, you will lead our core ML team, ship product, and collaborate with leadership to shape our AI roadmap, building ML products to unlock agentic flows in recruiting.

Develop scalable and resilient solutions. Present improvements to existing systems and ensure quality in deliveries. Maintain software quality by verifying processes, tools, and best practices. Guide junior developers by supporting their questions, disseminating knowledge, and designing solutions. Create complex manual or automated tests.

Contribute to developing cutting-edge solutions for core robotic manufacturing technologies. You'll lead the design, development, evaluation, and optimization of advanced robotic systems. Develop motion planning, simulation, and perception algorithms for robotic arms using ROS2 and MoveIt. Write clean, efficient, and well-documented code in C++ and Python.

Be a critical part of the technical and product roadmap and build products across our stack (using React, Typescript, NextJS, Tailwind, NodeJS). Help drive the technical roadmap and architectural decisions as we grow and also interact with smart contracts across on multiple chains.

Drive teams to produce excellent software and enable engineers' learning and growth at Granicus. Embody values, champion practices like test-driven development, and collaborate on code. Be responsible for career development, coaching, and performance assessment. Operate as an individual contributor, improve processes, and focus on long-term vision, contributing significantly across Granicus.

As a full-stack engineer at ClassDojo, you'll help build the systems that will support our rapid growth. You’ll work on production code from day one in a pair programming environment, deploy often, move quickly, and have your work used by millions of students, teachers, and parents around the world every day. In addition, you’ll help us further develop our high-quality engineering culture, one that values rapid iteration, collaboration, and best practices.

This role is centered on leading our newly launched Causal Attribution product, the hub for reporting on customer spend and efficiency across their platforms. The focus for this squad is to enhance this experience with new features and supporting additional data types for the dashboard to meet our customers' needs. This product area is data heavy so comfort in working with data workloads and customer data of different shapes is required!

As Dscout’s first GenAI Lead, you will report directly to our Head of AI and spearhead efforts to harness breakthroughs in ML/AI, leading a full-stack team of experts to drive the strategic direction and execution of AI powered initiatives from research to production.

As an experienced Solutions Architect you will help develop leads and build partner relationships in support of our business development efforts. Your knowledge and experience in Cloud contact center, intelligent automation, digital channels, journey orchestration, voice self-service and conversational Bot solutions will be the key for success.