Machine Learning / Reinforcement Learning Engineer

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:

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

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.