Applied ML Engineer

Fal; San Francisco (CA); Hybrid; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking company as an ML engineer where you will bridge cutting-edge research with real-world applications. In this dynamic role, you will leverage your expertise in machine learning to train, deploy, and maintain models that perform at scale. Collaborate with a dedicated team, utilizing advanced technologies like Python and Torch, while enjoying a work-life balance and competitive compensation. This innovative firm offers opportunities for remote work and visa sponsorship, making it an exciting chance to contribute to impactful AI solutions in the heart of San Francisco.

Benefits

Health, dental, and vision insurance

4 weeks of paid vacation

Employee-friendly equity terms

Regular team events and offsites

Visa sponsorship

Work-life balance

Qualifications

• Hands-on experience with training and deploying machine learning models.
• Staying current with AI developments while focusing on production solutions.

Responsibilities

• Bridging research and real-world applications in ML.
• Maintaining machine learning models to ensure performance at scale.

Skills

Machine Learning

Python

AI Research

Model Deployment

Tools

Torch

Diffusers

fal Python SDK

Job 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.

Tech:

• 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.

What we offer at fal:

• Interesting and challenging work.
• Work-life balance.
• Competitive salary and equity.
• Employee-friendly equity terms (early exercise, extended exercise).
• We are currently hiring in downtown San Francisco. We prefer to work in-person, but we also offer remote work opportunities for exceptional candidates.
• We offer visa sponsorship and will help you relocate to San Francisco.
• Health, dental, and vision insurance (US).
• Regular team events and offsites.
• 4 weeks of paid vacation.

To Apply:

Reach out to [e-mail] with your resume and any relevant links to your work or publications.