Robot Learning Intern, Apptronik
Humanoid robot developer
Job no longer available
Humanoid robot developer
101-200 employees
Job no longer available
101-200 employees
Company mission
To leverage robotics to improve universal quality of life.
Role
Who you are
- MUST be an MS or PhD student enrolled in an accredited academic program during the internship term located in the United States. (New graduates not enrolled in an accredited program for Fall 2025 are ineligible.)
- Pursuing a degree in Computer Science, Machine Learning, Engineering, Robotics, or a related field
- Expertise in Reinforcement Learning, Imitation Learning and Inverse RL, specifically for continuous control
- Experience building training codebases for large-scale distributed ML models
- Experience with simulation engines such as Mujoco, IsaacLab, Drake or similar
- Experience ML Workflows and optimizing efficiency of distributed training systems and/or inference systems
- Background in robotics is desired but not necessary
- Demonstrated track record. The portfolio can consist of: code, technical writing (white papers or blog posts), peer reviewed papers in Tier-1 Machine Learning, Robotics and Computer Vision
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
What the job involves
- You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools
- It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it
- As an intern on the Apptronik AI Core Robotics team (AIRcore) team, you will build a new generation of world-class large behavior and reasoning models for multi-resolution decision making in Robotics and build production grade robotics solutions and deliver this to customers
- You will build a stack of fundamental perception and decision-making algorithms to create a new generation of Robot controllers and build production grade robotics solutions and deliver this to production
- Implement core algorithmic infrastructure in a task-agnostic manner and conduct research to build perception and controllers for high-dimensional physical systems such as full-body humanoids and bimanual dexterous hands
- Solve essential problems to train world simulators at massive scale, develop metrics and scaling laws for physical intelligence, curate and annotate training data, enable real-time interactive generation, and study integration of world models with multimodal language models
- Embrace the bitter lesson and seek simple methods that scale, with emphasis on strong systems and infrastructure
- Infrastructure for large-scale video data pipelines and annotation
- Inference optimization and distillation for real-time generation
- Methods for native multimodal generation in language models
- Methods for ultra-long-context transformers
- Quantitative evals for physical accuracy and intelligence
- Scaling law science for video pretraining
- TECH STACK:
- Python
- Pytorch, JAX and XLA
- CUDA (C++ and Triton)
- Prolonged periods of sitting at a desk and working on a computer
- This position is expected to start in-person around May/June 2025 and continue through the entire Summer (i.e. through Aug/Sep 2025)
- We ask for a minimum of 10 weeks. Interns should expect to work Monday-Friday, up to 40 hours per week, typically between 9am-5pm. Specific team norms around working hours will be communicated by your manager
Our take
Apptronik specializes in the development of advanced robotic systems designed to enhance and automate various industrial processes. With the company's flagship product, The Apollo humanoid robot engineered to perform low-skill, physically demanding tasks that are repetitive and crucial for manufacturing efficiency.
The company's expertise extends beyond robotics into the broader realm of artificial intelligence and automation, contributing to its rapid growth and increasing prominence in the tech industry. Apptronik's products are designed to integrate seamlessly into existing workflows, offering solutions that address labor shortages and improve operational efficiency.
The company's recent partnership with Mercedes-Benz marks a significant milestone for both companies., This agreement to pilot Apollo robots in Mercedes-Benz manufacturing facilities represents Apptronik's first publicly announced commercial deployment. This is an exciting opportunity for the company, and as the industry continues to evolve, Apptronik is poised to leverage its technology to meet increasing demands in the robotics and automations sectors.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
35% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2025
$350m
SERIES A
Jun 2022
$14.6m
SEED
Total funding: $364.9m
Company HQ
North Burnet, Austin, TX
Leadership
Jeff Cardenas
(CEO)Received a Master of Science in Technology Commercialization from the University of Texas. Founded multiple startups and non-profits. Previously worked at IC2 Institute at UT Austin and in Technology at Deloitte Consulting.
Dr. Nick Paine
(CTO)B.S., M.S. and Ph.D in Electrical and Computer Engineering from the University of Texas in Austin. Previously a member of the NASA-JSC DARPA Robotics Challenge team which developed high-performance hardware and software for robotic control.
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