Remote Software Engineer, Machine Learning

Description:

• Astronomer is seeking a Machine Learning-focused Software Engineer to work on their observability platform, Astro Observe.
• The role involves designing and building features powered by Machine Learning that provide actionable insights about data pipelines and data products.
• Responsibilities include contributing to the design, development, and vision of Astro Observe, leading efforts in Machine Learning features, collaborating with cross-functional teams, and continuously improving the architecture of the observability platform.
• The position is remote and part of a globally-distributed, venture-backed team dedicated to building an enterprise-grade product for data teams.

Requirements:

• Candidates should have a strong focus on helping customers gain visibility and actionable insights through observability offerings.
• Strong written and verbal communication skills are required, with the ability to find common ground.
• A minimum of 3 years of engineering experience in production settings is necessary.
• Experience with Machine Learning or Statistics in operational settings is required.
• Candidates should have experience in fast-paced startup environments.
• Proficiency in SQL and OLAP databases is necessary.
• Familiarity with software development best practices, including code reviews, testing, CI/CD, version control, automation, and debugging is required.

Benefits:

• The estimated salary for this role ranges from $180,000 to $200,000, along with an equity component.
• The salary range reflects a willingness to consider candidates with varying levels of seniority.
• Actual compensation may vary based on skills, experience, and qualifications.
• Astronomer values diversity and is an equal opportunity employer, promoting a remote-first work environment.