Senior Remote ML Engineer - Real-Time Analytics

Swish Analytics Inc.; San Francisco (CA); On-site; USD 144,000 - 176,000; Full time

Job summary

Swish Analytics Inc. is looking for a Machine Learning Engineer to work remotely. This role focuses on designing and optimizing systems for sports data analysis and predictions. The ideal candidate holds a Master's degree and has over 5 years of experience in developing production code.

The position offers a competitive starting salary of $160,000 plus bonus potential. Strong skills in Python, SQL, and quantitative analytics are required to meet the demands of this challenging and innovative role.

Qualifications

• 5+ years of demonstrated experience developing and delivering clean and efficient production code.
• A proven background in quantitative analytics, trading, or engineering is required.
• Demonstrated experience building data science modeling systems and infrastructure at scale.
• Background and/or interest in Rust preferred.

Responsibilities

• Design, prototype, implement, evaluate, optimize systems for sports datasets and predictions.
• Evaluate internal modeling frameworks and tools.
• Build, test, deploy and maintain production systems.
• Work closely with DevOps and Data Engineering teams.

Skills

Python

SQL

Quantitative analytics

Collaboration

Machine learning frameworks

Education

Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area

Tools

MySQL

Kubernetes

Job description

Swish Analytics Inc. is looking for a Machine Learning Engineer to work remotely. This role focuses on designing and optimizing systems for sports data analysis and predictions. The ideal candidate holds a Master's degree and has over 5 years of experience in developing production code.

The position offers a competitive starting salary of $160,000 plus bonus potential. Strong skills in Python, SQL, and quantitative analytics are required to meet the demands of this challenging and innovative role.