Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Machine learning for US sports betting

AI & Machine Learning
Consumer Goods
Data & Analytics

Compensation Overview

$133k - $180kAnnually

Senior

Remote in USA

Required Skills
Python
Data Science
Data Structures & Algorithms
Requirements
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred
  • Demonstrated experience developing data science modeling systems and infrastructure that scales
  • Proficient in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning models to serve business needs
  • Experience with Python and modern machine learning frameworks
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues
Responsibilities
  • Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow
  • Build, test, deploy and maintain production systems
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards
  • Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company

Swish Analytics is renowned for its advanced machine learning systems designed for the US sports betting and fantasy markets. This company stands out due to its specialized focus on providing algorithm-driven predictions and tools for NBA, NFL, MLB, and NHL. It excels in risk management and trading software, making it a top choice for professionals in the sports betting industry.

Company Stage

Series C

Total Funding

$29.8M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

12%

1 year growth

28%

2 year growth

133%