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AI Engineer

Remote
P

Photoroom

Startup
Category
Technical
Experience
4-7 years
Type
Full-Time
Location
Remote
Job Description
Benefits & Culture
Fast-growing company
Remote-first
Passionate team
This goes straight to the founder
Share on: TwitterFacebookLinkedInHacker NewsReddit

No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$80,000$200,000
Equity % (auto from trade-off model)
0.93%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.08%
$1,884,167
$125,000
0.93%
$1,636,250
$150,000
0.79%
$1,388,333
$175,000
0.65%
$1,140,417

Advanced Salary & Equity Calculator

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About Photoroom

Photoroom is the leading product photo editing tool for e-commerce. We empower businesses of all sizes to create professional visuals that drive sales. Our AI-powered platform helps users remove backgrounds, adjust lighting, and enhance product images with ease. We are a fast-growing, remote-first company with a passionate team dedicated to helping creators succeed.

About the Role

We are looking for a talented AI Engineer to join our growing team. In this role, you will be instrumental in developing and deploying cutting-edge AI models that power our product features. You will work closely with our engineering and product teams to research, experiment, and implement solutions that push the boundaries of visual AI.

Responsibilities

  • Design, train, and evaluate machine learning models for image processing and computer vision tasks.
  • Develop and maintain robust AI pipelines for data preprocessing, model training, and deployment.
  • Collaborate with software engineers to integrate AI models into our production systems.
  • Stay up-to-date with the latest research and advancements in AI and machine learning.
  • Conduct experiments to identify and test new AI approaches and technologies.
  • Optimize model performance for speed and efficiency.

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, or a related field.
  • Proven experience in developing and deploying machine learning models.
  • Strong understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Proficiency in Python and relevant libraries (NumPy, SciPy, Pandas).
  • Experience with computer vision tasks like object detection, image segmentation, and image generation.
  • Familiarity with cloud platforms (AWS, GCP) and MLOps practices.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.