Member of Technical Staff, Multimodal Post-train/RL

HarkSan Jose AI Foundation Models

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Opens the official Hark careers page

Salary

$180K - $450K USD

Job type

Full-time

Posted

23 Mar 2026

Status

Open · checked 7d ago

About this role

The Member of Technical Staff, Multimodal Post-train/RL position at Hark in San Jose involves building next-generation AI experiences that span multiple modalities like text, audio, and vision. This role suits an artificial intelligence professional with expertise in distributed machine learning systems and reinforcement learning algorithms who wants to shape proactive, personalized intelligence.

Role Overview

Working within the Omni team, this position focuses on developing real-time multimodal intelligence to power immersive user experiences. The role encompasses full-stack responsibilities spanning data collection, modeling, training, serving, and product integration. Team members actively contribute to pretraining and posttraining initiatives while partnering with product groups to push the limits of model capabilities.

Key Responsibilities

Design and implement efficient reinforcement learning algorithms and training techniques, including PPO, GRPO, and RLHF, to reach top-tier performance in multimodal foundation models.

Direct research and development efforts toward advancing real-time audio and video modeling capabilities.

Enhance data quality for large-scale post training through data curation, filtering, and synthetic data generation methods.

Create evaluation frameworks and internal benchmarks to track model reliability, user experience, and overall capability across various modalities.

Partner alongside product and engineering groups to turn research breakthroughs into practical, real-world artificial intelligence applications.

Requirements

Demonstrated history of leading research that successfully enhances neural network performance through advancements in training, modeling, or data strategies.

Extensive background in data-driven experimentation, methodical analysis, and iterative debugging of models.

Practical experience developing or interacting with large-scale distributed machine learning systems.

Strong sense of ownership and readiness to take necessary actions to ensure the highest quality end-to-end user experience.

Nice to Have

Previous experience working with multimodal models, video models, speech systems, or real-time artificial intelligence frameworks.

Familiarity with simulation, graphics engines, or rendering methods.

Skills and Tools

Reinforcement learning algorithms (PPO, GRPO, RLHF)

Large-scale distributed machine learning systems

Data filtering, curation, and synthetic data generation

Multimodal modeling (audio, video, and text)

Salary and Benefits

The annual base salary range for this full-time role in the United States is $180,000 to $450,000. Final compensation is determined by individual factors such as relevant knowledge, skills, and experience. Additional compensation components or benefits may be included depending on the specific position and are detailed during the offer stage.

About the Company

Hark is an artificial intelligence enterprise focused on creating advanced, personalized, and proactive intelligence capable of interacting via speech, vision, text, and persistent memory. By pairing this technology with next-generation hardware, the company builds unified human-machine interfaces designed for agentic systems that seamlessly engage with people and the physical world.

How to Apply

Interested candidates should visit the official Hark careers page to submit an application for this opportunity.

Questions candidates ask

What is the location of the Member of Technical Staff position?

The job is located in San Jose, United States.

What salary range is offered for this role?

The annual US base salary range spans from $180,000 to $450,000, varying based on factors like experience, knowledge, and skills.

Which team will the hired candidate join?

The candidate will join the Omni team within the AI Foundation Models department.

What qualifications are considered a strong bonus?

Bonus qualifications include experience with multimodal models, speech or audio systems, video models, real-time AI systems, simulation, graphics engines, or rendering techniques.

How can I apply for this job?

You can apply by visiting the official Hark company careers page.

Ready to apply?

The application is on the official Hark careers page.

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