Senior Robotics Engineer - AI & Learning at Multiply Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Biotechnology, PharmaceuticalsIndustries

Requirements

Bachelor’s or graduate degree in Computer Science, Robotics, AI, or a related field with a focus on machine learning
3+ years of relevant industry experience deploying production-grade machine learning models
High proficiency with Python and deep learning frameworks (PyTorch, TensorFlow)
Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet)
A strong theoretical and practical understanding of imitation learning, reinforcement learning, and computer vision fundamentals
A passion for solving real-world robotics problems and a drive to build systems that work reliably outside of the lab
Nice to Haves
A track record of deploying learned policies onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids
Publications in top-tier robotics or AI conferences
Familiarity with recent advancements in foundation models for robotics
Experience building and managing large-scale robotics datasets

Responsibilities

Develop & Train AI Models: Design, train, and deploy deep learning models for robotic manipulation on hardware, leveraging state-of-the-art imitation learning techniques
Build Data Pipelines: Create and manage the full lifecycle of robotics data—from teleoperated data collection and simulation-based generation to processing and augmentation for model training
Leverage Simulation: Utilize high-fidelity physics simulators (e.g., NVIDIA Isaac Sim) to train and validate robust policies before deploying them on our physical robots
Stay on the Cutting Edge: Stay at the forefront of Physical AI research (e.g., foundation models, transformers for robotics) and translate breakthrough concepts into practical applications
Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team

Skills

Machine Learning

Deep Learning

Imitation Learning

Robotic Manipulation

Humanoid Grasping

Robotics

Multiply Labs

Creates personalized vitamins and supplements

About Multiply Labs

Multiply Labs specializes in creating personalized vitamins and supplements tailored to individual needs. Their system uses advanced technology to analyze factors such as age, lifestyle, and health goals, allowing them to formulate effective supplement regimens for each customer. This company primarily targets health-conscious consumers, including fitness enthusiasts and those with specific dietary requirements. Unlike many competitors, Multiply Labs operates on a direct-to-consumer model, selling products through their website and offering subscriptions for recurring revenue. Their goal is to provide customized nutritional solutions that enhance individual health and wellness.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$22.2MTotal Funding

SERIES_ACompany Stage

Healthcare, Consumer GoodsIndustries

51-200Employees

Benefits

Work from home option

Risks

Increased competition in personalized supplements could threaten Multiply Labs' market share.

Rapid tech advancements may strain Multiply Labs' R&D financial resources.

Regulatory challenges could impact Multiply Labs' personalized health product offerings.

Differentiation

Multiply Labs offers 3D printed capsules, a first in the pharmaceutical market.

The company combines pharmaceutical science with robotics for personalized drug manufacturing.

Multiply Labs' direct-to-consumer model allows for tailored customer experiences and data collection.

Upsides

Growing demand for personalized medicine boosts Multiply Labs' market potential.

Partnerships in cell therapy manufacturing expand Multiply Labs' technological applications.

Advancements in 3D printing enhance Multiply Labs' product customization capabilities.

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