Applied ML Engineer
Job Description
- Broad view of the generative media space
- Up-to-date awareness of new methods in generative media
- Ability to spot missing products and features in the market
- Capability to develop new methods to solve customer problems
- Experience in developing, fine-tuning, and operationalizing machine learning models
- Ability to work on novel training or architecture developments
- Skill in fine-tuning pre-existing models with novel datasets
- Equity
- Comprehensive benefits package
- Interesting and challenging work
- Employee-friendly equity terms (early exercise, extended exercise)
- A lot of learning and growth opportunities
- Visa sponsorship
- Relocation assistance to San Francisco
- Health, dental, and vision insurance (US)
- Regular team events and offsites
You are an ML Engineer who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Your work will focus on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets.
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
Compensation
- $170,000 - $250,000 + equity + comprehensive benefits package
What we offer at fal
- Interesting and challenging work
- Employee-friendly equity terms (early exercise, extended exercise)
- A lot of learning and growth opportunities
- We offer visa sponsorship and will help you relocate to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites
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