Applied Scientist - Computer Vision (Stealth startup - early stage opportunity)

My Vision Labs; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Join a pioneering startup on a mission to transform online coaching and e-commerce through AI. As an Applied Scientist specializing in computer vision, you'll leverage your expertise in machine learning to develop innovative solutions that analyze and process multi-modal data. This remote opportunity offers the chance to work alongside a team of experienced professionals from top tech companies, with a focus on building scalable vision systems. With a potential transition to full-time and equity options, this role is perfect for those eager to make a significant impact in a dynamic environment.

Benefits

Equity options

Remote work flexibility

Generous work-life balance

Qualifications

• 4+ years of industry experience in machine learning and computer vision.
• Strong desire to build and scale a startup from early stages.

Responsibilities

• Develop innovative solutions in computer vision and machine learning.
• Build visual models for analyzing image, video, and text data.

Skills

Machine Learning

Computer Vision

Deep Learning

Python

TensorFlow

OpenCV

PyTorch

Neural Networks

Image Processing

Multi-modal Learning

Education

Master’s or PhD in relevant fields

Tools

TensorFlow

OpenCV

PyTorch

Job description

Applied Scientist - Computer Vision (Stealth startup - early stage opportunity)

We are on a mission to revolutionize online coaching and e-commerce with AI. Our team consists of a few ex-Amazon/ex-EBay employees, primarily based in the San Francisco Bay Area. Join us early and play a pivotal role in harnessing AI's power to disrupt online coaching and e-commerce. The company is in stealth mode, offering remote work options, with a potential transition to full-time in 3-6 months accompanied by generous equity.

Responsibilities

• Become a resident subject matter expert in AI, focusing on computer vision, deep learning, and semi-supervised and unsupervised learning.
• Conduct research and develop innovative solutions in machine learning and computer vision.
• Build visual models to analyze and process image, video, and text data, integrating external and internal multi-modal data sources.
• Develop scalable vision systems for item understanding, pose estimation, class-imbalanced classifiers, identification, and segmentation.
• Translate ideas into products using paradigms like deep learning, semi-supervised learning, and active learning, utilizing Python and TensorFlow for model training and data analysis.
• Analyze data to extract insights and improve existing models.

Minimum Qualifications

• A strong desire to build and scale a startup from early stages.
• Experience in machine learning and computer vision, in research and/or production environments.
• Proficiency with computer vision technologies and frameworks such as OpenCV, TensorFlow, and PyTorch.
• Master’s or PhD degree with 4+ years of industry experience in relevant areas.

Required Skills

• Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image synthesis, etc.
• Knowledge of neural networks, CNNs, and image processing techniques.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models), and imitation/reinforcement learning.
• Hands-on experience with AI/ML concepts, algorithms, including large language models (e.g., GPT-3, LaMDA) and computer vision (e.g., CNNs, object detection).
• Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.

Nice to Have

• Experience with open-source frameworks for language model applications like LangChain, LlamaIndex, etc.
• Experience with large-scale ML systems, including profiling, debugging, and understanding system performance and scalability.
• Peer-reviewed publications in multi-modality, large language models, continual learning, or federated learning.

Job Types: Full-time with equity, Part-time, or Contract at $50/hour, with potential to transition to full-time in 3-6 months.

Work Location: Remote

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Analysis, and Information Technology

Industries

• Software Development