Remote Machine Learning Engineer, Video

Description:

• Cantina is a new social platform founded by Sean Parker, featuring an advanced AI character creator for building, sharing, and interacting with AI bots.
• The platform allows users to recreate themselves or choose from thousands of existing characters, offering scalable and personalized content experiences.
• The company is seeking a Machine Learning Engineer who will work at the intersection of AI research and production systems.
• The role involves building and maintaining infrastructure for video-first AI products, focusing on deploying models and engineering data pipelines.
• Responsibilities include owning model deployment end-to-end, building production-grade inference pipelines, engineering video data workflows, architecting cloud-native ML systems, automating data annotation, and collaborating across teams.

Requirements:

• A minimum of 2 years of experience in ML engineering, data engineering, or a relevant field is required.
• Candidates must have experience building video/audio data processing pipelines using serverless GPU infrastructure like RunPod or similar providers.
• Familiarity with machine learning and deep learning frameworks such as PyTorch and TensorFlow is necessary.
• Experience deploying ML models to inference platforms like Baseten or similar providers is required.
• A track record of adapting to new domains and using ML to improve products is essential.
• Candidates should have experience with AWS services (S3, DynamoDB) and containerization tools like Docker and Kubernetes.
• A passion for video AI, multimodal models, or conversational AI is important.

Benefits:

• Cantina covers 99% of premiums for medical, vision, and dental insurance, along with a One Medical membership.
• Employees receive a monthly wellness stipend of $500 to use as they wish.
• The company offers 15 PTO days per year, 10 sick days, all Federal holidays, and 2 floating holidays for rest and recharge.
• Employees are eligible to participate in a 401(K) plan from day one of employment.
• Parental leave and fertility support are provided.
• The position offers a competitive salary and equity.
• Lunch and snacks are provided for in-office employees.
• WFH equipment is supplied for full-time hybrid or remote employees.