Machine Learning Engineer

Responsibilities

• Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment
• Contribute to the ongoing improvement of our ML infrastructure and tooling
• Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering
• Ability to drive end to end solution collaborating with other MLEs and PMs
• Ability to work in a fast pace hands on development organization

Minimum Qualifications

• 3+ years of related experience building high throughput scalable applications or building machine learning models
• Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems
• Skilled in communication, problem solving, strategic thinking
• Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience

Preferred Qualifications

• Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc
• Experience operationalizing distributed applications
  • Experience building full stack applications for big data analysis, feature extraction and annotations