Data Science And Ai

shefsolutionsllc; San Francisco (CA); On-site; USD 120,000 - 160,000; Part time

Job summary

shefsolutionsllc, based in the SF Bay Area, is seeking a machine learning expert to join our team focused on developing advanced AI solutions. You will be responsible for optimizing neural networks for image analysis and adapting language models for specific use cases.

Ideal candidates will have strong experience in computer vision technologies, a master's or Ph.D., and the ambition to grow within a startup environment. This role offers the potential for full-time conversion along with generous equity options.

Qualifications

• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks.
• Strong desire to build and scale a startup from the early days.

Responsibilities

• Develop and optimize neural network architectures for real-time image analysis.
• Adapt pre-trained language models to specific domain applications.
• Build visual models to analyze and process image, video, and text data.

Skills

Machine learning

Computer vision

Pattern recognition

Neural networks

Image processing techniques

Education

Master’s, PhD, or equivalent industry experience

Tools

OpenCV

TensorFlow

PyTorch

Job description

We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential.

Responsibilities

• Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
• Adapt pre-trained language models to our specific domain and use cases.
• Develop and deploy state-of-the-art computer vision models for real-time applications.
• Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
• Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data.

Minimum Qualifications

• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Master’s, PhD, or equivalent industry experience.
• Strong desire to build and scale a startup from the early days.

Required Skills

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

Nice to Have

• Experience working at a startup.
• Experience with real‑time video analysis, object detection, and scene understanding.
• Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering or advanced video processing.
• Experience with open‑source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
• Experience with large‑scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
• Peer‑reviewed publications in multi‑modality, large language models, continual learning and/or federated learning.

Note

• Role does not sponsor visa at this time.
• Role will have option to convert full time after initial contract with generous equity.