Full-Time

Machine Learning Engineer

NLP

Posted on 6/4/2024

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 NLTK
Data Science
Tensorflow
Keras
Pytorch
Pandas
Natural Language Processing (NLP)
NumPy
Requirements
  • Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • Minimum of 5+ years of demonstrated experience developing and delivering effective machine learning models
  • Minimum of 2 years of relevant experience building NLP systems from ideation to production
  • Proficient in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Production experience with modern packages such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK, Spacy, Gensim, NLTK
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues
Responsibilities
  • Design, prototype, build and deploy NLP systems that extract valuable insights from league data, historical matchups, open source data, etc.
  • Experience turning raw, unstructured data with open-ended project guidelines, into actionable production-level products
  • Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output
  • Research and stay updated on the latest advancements in recommendation systems and NLP
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards
  • Internet text source gathering and preprocessing using scraping, APIs, and link crawling
  • 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%
INACTIVE