Machine Learning Researcher

Onyx; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A venture-backed startup is seeking an Applied ML/CV Researcher to develop computer vision and machine learning systems. The role requires strong experience in training deep learning models, particularly for video understanding, and proficiency in Python with frameworks like PyTorch or TensorFlow. The ideal candidate will also work with large-scale datasets. This exciting opportunity is located in San Francisco, California, offering a chance to contribute to innovative technologies in a fast-paced environment.

Qualifications

• Strong experience in computer vision and video understanding.
• Expertise in training or fine-tuning deep learning models.
• Familiarity with self-supervised learning or weak supervision.

Responsibilities

• Build computer vision and machine learning systems.
• Work with large-scale video data for real-world understanding.

Skills

Deep learning models training

Python programming

Working with large-scale datasets

Activity recognition

Video analytics

Tools

PyTorch

TensorFlow

Job description

We’re representing a venture-backed startup building computer vision and machine learning systems to understand complex real-world environments from large-scale video data.

They’re looking for Applied ML/CV Researchers with strong experience in computer vision, video understanding, and modern deep learning systems.

• Experience training or fine-tuning deep learning models for computer vision or video understanding
• Strong Python skills with frameworks such as PyTorch or TensorFlow
• Experience working with large-scale datasets and building model training pipelines
• Background in areas like activity recognition, video analytics, perception systems, or multimodal models
• Familiarity with self-supervised learning, weak supervision, or large-scale data labeling workflows

Bonus: Experience working on real-time or edge ML systems, robotics/autonomous perception, or large-scale video datasets.