fal Logo

fal

Applied ML Engineer

Posted 2 Days Ago
Easy Apply
In-Office
San Francisco, CA
170K-250K Annually
Mid level
Easy Apply
In-Office
San Francisco, CA
170K-250K Annually
Mid level
As an ML Engineer, develop and operationalize machine learning models, focusing on enhancing user experiences and novel architecture developments.
The summary above was generated by AI

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

Location
  • San Francisco, CA

What we offer at fal
  • Interesting and challenging work

  • 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

Top Skills

Diffusers
Fal Python Sdk
Python
Torch

Similar Jobs

3 Days Ago
In-Office or Remote
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.
Top Skills: AICloud ComputingLarge Language ModelsMachine LearningMlops
14 Days Ago
In-Office or Remote
8 Locations
277K-415K Annually
Expert/Leader
277K-415K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.
Top Skills: AICloud ComputingLarge Language ModelsMachine LearningMlops
5 Hours Ago
In-Office or Remote
8 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.
Top Skills: DatabricksJavaKafkaKotlinPythonSnowflakeSpark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account