Description

We are seeking a Rust-proficient Machine Learning Engineer to join our innovative team! You will be at the forefront of AI innovation, developing multi-modal models for voice, text, image, and video that power some of the largest creator brands. This role involves integrating different modalities to work together, breaking down complex NLP tasks, and deploying models on GPU infrastructure.

Company Culture and Environment

Our team is passionate about AI and values self-direction and autonomy. We encourage our engineers to take ownership of their projects and work on meaningful tasks that contribute to the advancement of AI technology.

Career Growth and Development Opportunities

In this position, you will eventually lead and architect your own projects, providing opportunities for professional development and career advancement. Working directly with clients will further enhance your skills and experience in the field.

Detailed Benefits and Perks

While specific benefits are not detailed, the role emphasizes working in a self-directed environment, which implies flexibility and potential perks associated with autonomy and project ownership.

Compensation and Benefits

• Competitive salary based on experience
• Opportunities for project ownership
• Flexible working conditions

Why you should apply for this position today

If you are passionate about AI and are looking for a role where you can work autonomously and make meaningful contributions, this is the opportunity for you! Join our team and be a part of groundbreaking AI projects that shape the future.

Skills

• Proficiency in Rust programming language
• Experience in developing multi-modal AI models
• Familiarity with NLP tasks and LLM agents
• Knowledge of stable diffusion and ComfyUI for image creation
• Expertise in training and fine-tuning models using PyTorch
• Understanding of computer vision for image and video processing
• Ability to deploy models on GPU infrastructure
• Excellent problem-solving skills and self-direction

Responsibilities

• Create multi-modal voice, text, image, and video AI models
• Integrate models of different modalities
• Break down complex NLP tasks and compose LLM agents
• Utilize stable diffusion and ComfyUI for realistic image generation
• Train and fine-tune models when needed
• Develop computer vision projects for classifying, tagging, and segmenting images and videos
• Deploy models on GPU infrastructure
• Eventually lead and architect your own projects
• Collaborate directly with clients
• Stay current with the latest advancements in AI and ML

Qualifications

• Proven experience in machine learning and AI development
• Strong understanding of multi-modal AI models
• Experience with NLP and computer vision projects
• Excellent communication skills and ability to work independently

Education Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Master’s degree preferred but not required

Education Requirements Credential Category

• Computer Science or related technical field

Experience Requirements

• 3+ years of experience in machine learning engineering
• Demonstrated experience in developing and deploying AI models

Why work in San Francisco, CA

San Francisco is a vibrant hub for technology and innovation, offering a rich cultural scene and a diverse community. The city is home to numerous tech companies and startups, providing ample networking opportunities and a chance to work alongside some of the brightest minds in the industry. With breathtaking views, a variety of recreational activities, and a welcoming environment, San Francisco provides an exciting backdrop for both personal and professional growth.