Computer Vision Engineer

Full-Time

Computer Vision Engineer

Date 01 Sep, 2025

Location Level 12, Innovation T. SF, CA 94105, USA

At Mizo, we build cutting-edge AI solutions that help businesses unlock the true potential of data. We’re looking for a Data Scientist / ML Engineer who is passionate about turning raw data into intelligent models that drive real-world impact.

In this hybrid role, you’ll be responsible for designing, building, and deploying machine learning models that power Ryno’s AI-driven platforms across various industries. You will collaborate closely with engineers, product managers, and designers to bring smart, scalable solutions to life.

• Analyze complex datasets to uncover trends, patterns, and opportunities for AI solutions
• Design, develop, and train machine learning models using Python, Tensor Flow, PyTorch, or similar frameworks.
• Perform feature engineering, model selection, hyperparameter tuning, and validation
• Work on end-to-end ML pipelines, including data preprocessing, model deployment, and monitoring
• Collaborate with software engineers to integrate models into production-ready systems
• Conduct A/B testing and performance evaluations to optimize model accuracy and efficiency
• Communicate findings and insights clearly to both technical and non-technical stakeholders
• Stay current with the latest advancements in AI/ML research and apply them to Ryno projects

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field
• 2–5 years of professional experience in machine learning, data science, or a similar role
• Strong coding skills in Python (and libraries like pandas, Num Py, scikit-learn, etc.)
• Proficiency in at least one deep learning framework (e.g., Tensor Flow, PyTorch, Keras)
• Experience working with structured and unstructured data, including large-scale datasets
• Solid understanding of ML algorithms, statistics, and model evaluation metrics
• Familiarity with cloud services (AWS, GCP, or Azure) for AI deployment
• Experience with NLP or Computer Vision projects

• Competitive salary performance-based bonuses
• Remote-first work environment (with optional hybrid spaces)
• Annual learning & development stipend
• Opportunities to work on high-impact, global AI projects
• Access to exclusive AI/ML research and training sessions
• Paid time off company-wide wellness days
• Collaborative, inclusive team culture focused on innovation and growth
• Health and wellness benefits (country-specific)

If you are excited about solving complex problems with machine learning, enjoy working in a dynamic and forward-thinking environment, and want to help shape the future of AI — we would love to hear from you.