Machine Learning Engineer

Posted 14 days agoViewed

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💎 Seniority level: Senior, At least 5 years

📍 Location: United States

💸 Salary: 150000.0 - 190000.0 USD per year

🔍 Industry: Sports gaming

🏢 Company: Underdog Sports

🗣️ Languages: English

⏳ Experience: At least 5 years

🪄 Skills: AWSDockerSQLKubernetesMachine LearningC++Apache KafkaGoRust

Requirements:

At least 5 years of experience with low latency systems in cloud environments (AWS, GCP, Azure).
Advanced proficiency in C/C++, Rust, or Go.
Familiarity with SQL.
Strong proficiency with SageMaker, Databricks or similar ML platforms.
Knowledge of statistical concepts including univariate/bivariate distributions, regression, and binomial models.
Experience with data streaming frameworks such as Apache Kafka, Flink, or Kinesis.
Familiarity with containerization and orchestration (Docker, Kubernetes, ECS).
Excellent leadership and communication skills for collaboration with stakeholders.

Responsibilities:

Developing and designing low latency Machine Learning inference systems for real-time updates.
Building internal tools and services to accelerate model building and deployment.
Writing sophisticated and fast application code for data science infrastructure.
Building frameworks to measure and analyze model performance and accuracy in production.
Mentoring junior engineers and leading technical initiatives.
Conducting code reviews and promoting best practices for code and data quality.
Staying current on emerging ML technologies and implementing them into systems.

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