Location: Los Angeles, CA

On-site | Full-time

Compensation: $200K-$300K + equity + benefits.

Our client is a high-growth, stealth-mode startup based in Los Angeles dedicated to reshaping the landscape of modern media. Backed by a bold vision and significant technical ambition, this organization is building a platform designed to handle complex, large-scale data challenges with high efficiency.

The team is composed of elite high-performers focused on solving technically rigorous problems in a fast-moving environment. Our client seeks Machine Learning / Reinforcement Learning Engineers who excel at building sophisticated, data-rich interfaces that are as performant as they are intuitive. This is an opportunity to define the visual and interactive DNA of a transformative product during its earliest phase.

Key Responsibilities:

• Design, develop, and deploy sophisticated machine learning models with a heavy emphasis on reinforcement learning (RL) frameworks.
• Architect scalable systems capable of processing and transforming media-related data in real-time.
• Collaborate with a multidisciplinary team of engineers to integrate AI models into core product features.
• Conduct rigorous experimentation and optimization to improve model performance, stability, and efficiency.
• Contribute to the foundational codebase and technical strategy of a pre-launch platform.

Requirements:

• Technical Expertise: Proven experience in Machine Learning, specifically within Reinforcement Learning, Deep Learning, or Neural Network architecture.
• Problem Solving: A track record of tackling "technically hard" problems and delivering viable solutions under tight deadlines.
• Industry Standards: Proficiency in Python and industry-standard ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Academic/Professional Background: Strong academic credentials in Computer Science, Mathematics, or a related field, complemented by significant professional contributions to AI-driven products.
• Location: Ability to work in-person (IRL) in Los Angeles.
• Mindset: A driven, "A-player" mentality with the adaptability to thrive in a stealth-mode startup environment where roles and responsibilities evolve quickly.

Benefits:

• Compensation: Highly competitive salary ranging from $200,000 to $300,000 per year.
• Equity: Significant early-stage equity packages, offering meaningful ownership in the company's long-term success.
• Environment: The chance to work alongside a concentrated team of elite engineers in a high-energy, collaborative office setting in LA.

Interview Process:

The selection process is designed to be rigorous and efficient, reflecting the high standards of the founding team:

1. Initial Screening: A technical review of experience and previous projects.
2. Deep-Dive Technical Assessment: Focused evaluation of Machine Learning and Reinforcement Learning competencies.
3. Founder/Team Interview: A discussion regarding the vision of the startup, the stealth nature of the project, and cultural alignment.
4. Final Review: Detailed discussion of compensation, equity, and the roadmap for the role.