Humanoid Locomotion Reinforcement Learning Engineer at Persona

Pensacola, Florida, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Humanoid Robotics, AI, ManufacturingIndustries

Requirements

3+ years of experience in reinforcement learning applied to bipedal locomotion
MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field
Experience with relevant tools and libraries (Pytorch, MuJoCo, IsaacLab, etc.)
Proficiency in Python and capable of writing high-quality software
Understanding of the challenges of deploying neural network models in the real world
Hands-on experience deploying control policies on real humanoid robots in real-world settings

Responsibilities

Develop and implement reinforcement learning training pipelines for bipedal walking
Specifically, focus on sim to real transfer, robust locomotion, and loco-manipulation
Simulate, test, and validate control policies in both simulation and real-world environments
Collaborate with the robotics control and software teams to integrate policies within a real-time control framework
Collaborate on the design and development of the Persona ML software stack to support its application in locomotion
Collaborate with hardware, perception, and planning teams to refine system performance and robustness
Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development

Skills

Reinforcement Learning

Bipedal Locomotion

Sim-to-Real Transfer

Robust Locomotion

Loco-Manipulation

Control Policies

Simulation

Real-World Validation

Real-Time Control

ML Pipelines

Robotics Control

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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