Remote Applied ML Engineer

Description:

• You are an ML engineer who excels at bridging cutting-edge research and real-world applications.
• You have hands-on experience training, deploying, and maintaining machine learning models, ensuring they perform at scale.
• You stay current with new developments in AI, but your focus is always on delivering impactful solutions in production environments.
• You will have access to our massive GPU cluster for training and inference.
• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK.
• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs.

Requirements:

• You must have experience in training, deploying, and maintaining machine learning models.
• You should be knowledgeable about the latest developments in AI and how to apply them in production environments.
• Proficiency in Python and familiarity with technologies such as torch, diffusers, and the fal Python SDK is required.
• A collaborative mindset is essential as you will be working with a team focused on rapid iteration and deployment of AI solutions.

Benefits:

• We offer interesting and challenging work that will enhance your skills and experience.
• A competitive salary and equity package is provided.
• Employee-friendly equity terms, including early exercise and extended exercise options, are available.
• There are numerous learning and growth opportunities within the company.
• We are currently hiring in downtown San Francisco and prefer in-person work, but remote work opportunities are available for exceptional candidates.
• Visa sponsorship is offered, and we will assist you in relocating to San Francisco.
• Health, dental, and vision insurance is provided for employees in the US.
• Regular team events and offsites are organized to foster team bonding and collaboration.