Deep Learning Robot Manipulation Engineer at Persona

Pensacola, Florida, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

Masters or PhD in Robotics, Computer Science, or a related field
3+ years of experience in applying deep learning to robotic manipulation
Strong understanding and proficiency with state-of-the-art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc
Experience with cloud computing and large-scale datasets
Understanding of the challenges of deploying neural network models in the real world
Capable of writing high quality software
Strong first principles thinker
Courage and grit to tackle some of the hardest problems in robot manipulation
Enthusiasm for working collaboratively in fast-paced ambiguous environments
Preferred or Bonus Qualifications
Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection
Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS)
Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments

Responsibilities

Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands
Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation
Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies
Work with the teleoperation and data team to design data collection and versioning strategies
Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks
Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors
Collaboratively develop and optimize the manipulation ML pipeline
Keep up to date with the state of the art in research and development
Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments
Collaborate in attracting, nurturing and growing the machine learning and autonomy teams

Skills

Deep Learning

Robot Manipulation

Curriculum Learning

Tactile Sensing

Proprioception

End-to-End Learning

Teleoperation

Data Collection

Humanoid Robots

High DOF Manipulation

Multi-Fingered Hands

Persona

Identity verification tools for online security

About Persona

Persona focuses on making online identity verification more user-friendly and secure. The company provides businesses with tools to confirm the identities of their users, which helps create a safer online environment. Their products include Web and iOS SDKs that allow companies to easily integrate verification processes into their platforms. These tools operate in two modes: production mode for live data and sandbox mode for testing with sample data. Persona differentiates itself from competitors by emphasizing reliability and uptime, which are critical for businesses that need real-time verification. The company's goal is to humanize the online verification process while ensuring that businesses can trust the identities of their users.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$211.6MTotal Funding

SERIES_CCompany Stage

Enterprise Software, CybersecurityIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Unlimited Paid Time Off

Family Planning Benefits

Professional Development Budget

Wellness Program

Risks

Class action lawsuit for biometric data capture could harm Persona's reputation.

Over-reliance on synthetic data may degrade identity verification accuracy.

Voice fraud and deepfakes challenge traditional identity verification methods.

Differentiation

Persona offers customizable identity verification flows for diverse business needs.

The company integrates advanced link analysis to detect risky user connections.

Persona's Graph solution provides expert-level fraud investigation capabilities.

Upsides

Rising demand for identity verification due to deepfake and voice fraud threats.

INFORM Consumers Act mandates verification, boosting demand for Persona's KYS solution.

Partnership with AtData enhances fraud prevention with email-centric intelligence data.

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