Deep Learning Intern, Model Optimization

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

In this role, you will focus on optimizing state-of-the-art computer vision and deep learning models for deployment in industrial settings. You will research and apply techniques to compress complex models, making them smaller and faster while maintaining high accuracy. You will work on implementing knowledge distillation and quantization strategies to adapt these models for specific hardware constraints. Throughout your internship, you will design experiments to evaluate performance trade-offs between speed, size, and precision, and you will collaborate with the team to integrate these optimized models into our production software stack.

How your work moves the mission forward

• Accelerate the deployment of advanced perception capabilities by significantly reducing model latency and memory footprint.

• Enable real-time robotic control and decision-making by ensuring complex models run efficiently on constrained edge hardware.

• Identify and validate novel optimization methods that define the future standard for our machine learning pipelines.

Skills you will need to be successful

• Currently pursuing a PhD or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.

• Experience with Python and major deep learning frameworks (e.g., PyTorch, JAX, or TensorFlow).

• Theoretical understanding and practical experience with model compression techniques, specifically knowledge distillation and quantization.

• Experience training and evaluating deep learning models for computer vision tasks (e.g., Transformers, CNNs).

• Ability to analyze experimental data to diagnose performance bottlenecks and report findings clearly.

In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.

Salary Range
$70.19—$70.19 USD

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: [email protected].