Tempo, a YC-backed startup founded in 2023, is revolutionizing software development with their AI-powered Visual Editor for React. They're seeking an experienced full-stack software engineer to join their 8-person team in downtown Toronto. The role offers a competitive salary of $160K - $200K CAD plus equity (0.35% - 1.00%).

The ideal candidate will be an integral part of building products that enable customers to build web apps 10x faster. This position requires someone who can think like a founder, embracing an AI-first culture while working across the full stack using technologies like TypeScript, Node.js, and React. The role demands someone with strong production experience who can execute complex tasks efficiently and adapt quickly in a fast-paced startup environment.

This is an exciting opportunity to join a rapidly growing early-stage startup that's at an inflection point of growth. The company is focused on leveraging AI agents and collaborative tools to make software development significantly faster. Located near Union Station in downtown Toronto, Tempo offers the chance to work directly with founders and make a significant impact on the future of software development.

Bonus points are given to candidates who have previous startup experience (Series A or earlier) or founder experience, as well as those with an eye for visual design. The role requires in-person work at their Toronto office, making it ideal for someone who values direct collaboration and wants to be part of building something revolutionary in the software development space.

Senior Full Stack Software Engineer role at Tempo, building AI-powered Visual Editor for React in Toronto, offering $160K-$200K CAD plus equity.

Software Engineer, Full Stack (In-Person - Toronto)

Tempo, a YC-backed startup founded in 2023, is revolutionizing software development with their AI-powered Visual Editor for React. They're seeking an experienced software engineer to join their 8-person team in downtown Toronto. The role focuses on building and optimizing AI agents and LLM tools that enable 10x faster web app development. The ideal candidate will have strong experience in AI-driven applications, LLM prompt engineering, and production-grade AI systems.

The position offers a competitive salary range of $118,000-$148,000 USD plus equity (0.35%-1.00%), and requires in-person work at their downtown Toronto office near Union Station. This is a critical role where you'll work directly with founders and customers, making significant impact on both technical and product decisions.

The company is at an exciting growth stage, building tools that leverage AI agents and collaborative features to transform how software is built. They're looking for someone who can execute complex tasks efficiently, has strong opinions on code quality from real-world experience, and can thrive in a startup environment where priorities may shift quickly.

Bonus qualifications include previous startup experience (particularly as a founder or early employee), visual design skills, and familiarity with AI frameworks like TensorFlow, PyTorch, and OpenAI API. This is an excellent opportunity for a senior engineer who wants to shape the future of AI-assisted software development while working closely with founders in a fast-growing startup environment.

Senior Software Engineer role at Tempo, focusing on building AI agents and LLM tools for their React Visual Editor platform in Toronto.

Software Engineer, LLMs & AI Agents

Live home fitness training powered by computer vision.

Tempo is an innovative Series B consumer fitness startup that's revolutionizing home workout experiences through advanced computer vision technology. Backed by prominent investors including Founders Fund and Khosla Ventures, Tempo is building the future of personalized fitness training.

As a Machine Learning Engineer at Tempo, you'll be at the forefront of developing sophisticated AI systems that power their unique hardware solution. The role involves working on critical components of their technology stack, including 3D data processing pipelines, workout recommendation engines, and personalization systems. This position offers an exciting opportunity to work on real-world applications of computer vision and machine learning that directly impact users' fitness journeys.

The ideal candidate should have a strong foundation in computer science, with specific expertise in C++ programming and machine learning. The role requires both theoretical knowledge (mathematics, 3D geometry, algorithms) and practical experience in implementing AI solutions. You'll be part of a team that's creating technology that enables trainers to provide detailed, real-time feedback to class participants, something previously only possible in in-person settings.

This is an excellent opportunity for a machine learning engineer who wants to work on challenging technical problems while making a tangible impact on people's health and fitness. The position offers competitive compensation, including both salary and equity components, reflecting the company's growth stage and the importance of this role in their technical team.

Machine Learning Engineer position at Tempo, focusing on 3D data processing and workout recommendations using computer vision technology.

Machine Learning Engineer

Tempo is revolutionizing home fitness training with their innovative computer vision-powered platform. As a Series B startup backed by prominent investors including Founders Fund and Khosla Ventures, they're creating an unparalleled fitness experience that brings expert training directly to people's homes.

The Senior Front End Engineer role offers an exciting opportunity to shape the future of home fitness technology. You'll be working with cutting-edge technology that combines React, TypeScript, and computer vision to deliver real-time fitness feedback and instruction. The position involves developing features for the Pivot service and creating tools that enable trainers and computer vision engineers to deliver an exceptional workout experience.

The company has secured $17.5M in funding and boasts a team of alumni from leading tech companies including Google, Pixar, Airbnb, YouTube, Netflix, and Orangetheory. This demonstrates their strong foundation and commitment to excellence. Their unique hardware solution enables trainers to see class participants in real-time and provide detailed feedback that was previously only possible in person.

This role is perfect for someone who is passionate about both technology and fitness, offering the chance to work on consumer-facing products that directly impact people's health and wellness. You'll be joining a team that's focused on innovation and making premium fitness training accessible to everyone. The position requires strong expertise in front-end technologies and a track record of delivering clean, maintainable code.

Senior Front End Engineer role at Tempo, developing computer vision-powered home fitness platform using React and TypeScript in San Francisco.

Senior Front End Engineer

Tempo is an innovative Series B consumer fitness startup that's revolutionizing home fitness training through advanced computer vision technology. Backed by prominent investors like Founders Fund and Khosla Ventures, they're creating a unique hardware solution that enables trainers to provide real-time, detailed feedback to participants - something previously only possible in person.

As a Sr Computer Vision Engineer at Tempo (formerly SmartSpot), you'll play a crucial role in enhancing their computer vision pipeline for processing 3D data of human exercise. The ideal candidate should be flexible and curious, with a strong background in computer vision, particularly real-time applications. The role requires expertise in C++ programming and a solid foundation in mathematics, including 3D geometry and linear algebra.

The position offers an attractive compensation package ranging from $180K to $225K, plus equity (0.05% - 0.11%). The company, founded in 2014, has grown to a team of 158 people and maintains an active presence in San Francisco. Their mission to transform home fitness through technology makes this an exciting opportunity for someone passionate about combining computer vision with practical applications in the fitness industry.

Preferred qualifications include experience with TensorFlow, industry experience in Computer Vision, Python programming skills, and familiarity with state-of-the-art Computer Vision research. This role offers the chance to work on cutting-edge technology that directly impacts how people exercise and receive fitness training at home.

Senior Computer Vision Engineer position at Tempo, developing 3D human exercise tracking systems using computer vision technology.

Tempo Engineering Jobs

Visual Editor for React, powered by AI