MACHINE LEARNING ENGINEER

Full-Time

Machine Learning Engineer

Date

01 Sep, 2025

Location

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

Job Summary

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.

Key Responsibilities

Analyze complex datasets to uncover trends, patterns, and opportunities for AI solutions

Design, develop, and train machine learning models using Python, TensorFlow, 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

Qualifications

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, NumPy, scikit-learn, etc.)

Proficiency in at least one deep learning framework (e.g., TensorFlow, 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

Perks & Benefits

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.