Pear VC Logo

Pear VC

ML Software Engineer at Infi Robotics

Posted Yesterday
In-Office or Remote
Hiring Remotely in CA
Entry level
In-Office or Remote
Hiring Remotely in CA
Entry level
Build machine learning systems and software that convert human assembly demonstrations and production data into robotic capabilities. Develop tools for data collection, behavior evaluation, policy training, and deploying improvements in a physical factory environment. Own foundational projects spanning robotics, machine learning, factory operations, and customer programs.
The summary above was generated by AI
About Infi Robotics

Infi's mission is to build a general-purpose fully autonomous factory to unlock physical abundance and reindustrialize America.

We are a robotics-native contract manufacturer helping hardware companies take their products from prototype to production at our factory in the San Francisco Bay Area. Our initial focus is automated assembly for robots, drones, and other intelligent hardware.

The role

Build the learning systems and software that turn human assembly expertise into robot capability: the path from demonstrations and production data to trained policies, and the tools to collect data, evaluate behavior, and ship improvements. You have strong software foundations and want to test your ideas against the physical world.

Join us

At Infi, you’ll own foundational projects across robotics, ML, the factory floor, and our first customer programs, and help shape the company’s direction and pace.

Apply with a short introduction and something you’ve built. Portfolio, project links, or resumes are welcome.

Learn more at infirobotics.com.

Similar Jobs

8 Hours Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Own end-to-end analytical problems across risk, fraud, growth, and lending products. Develop strategies, monitor portfolio and macroeconomic trends, build metrics and analytical frameworks with Engineering and Machine Learning teams, and influence product, regulatory, compliance, and launch decisions. Engage external partners, translate complex insights into action, create AI-assisted workflows, and mentor junior analysts.
Top Skills: Ai-Assisted WorkflowsData VisualizationMachine LearningPythonSQLStatistical Modeling
9 Hours Ago
Remote or Hybrid
Entry level
Entry level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Designs scalable software architectures that integrate machine learning models with real-time rendering systems. Builds APIs, wrappers, microservices, and preprocessing/postprocessing layers; evaluates customer requirements and determines build-versus-buy approaches; coordinates with customers, leadership, and engineering teams; and translates product visions into modular, stable, language-agnostic production components.
Top Skills: APIsC#C++ContainerizationGitMachine LearningMessage BrokersMicroservicesPythonReal-Time Rendering EnginesUnix Shell
10 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage end-to-end implementation and adoption of Samsara’s IoT solutions for mid-market customers. Responsibilities include creating launch plans, tracking implementation progress and account health, delivering product training, demonstrating technology, resolving challenges, and coordinating with Sales, Support, Sales Engineering, and Product. The role requires strong customer communication, consultative implementation skills, technical product experience, stakeholder management, and fluency in English and French.
Top Skills: Equipment MonitoringIotSaaSSamsara Connected Operations CloudVehicle Telematics

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account