Senior Software Engineer (AI/ML)

TL;DR

Senior Software Engineer (AI/ML): Building and optimizing web applications and data pipelines for the healthcare industry with an accent on creating secure, maintainable, performant, and scalable AI/ML solutions. Focus on deploying machine learning models into production environments, addressing challenges from incomplete data, and ensuring system reliability through robust observability and testing.

Location: Remote, United States

Company

hirify.global is a company that maintains, improves, and expands its web application and data pipelines in the healthcare industry.

What you will do

• Develop and implement scalable and performant solutions.
• Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes.
• Mentor and coach more junior engineers, including thorough pull request reviews.

Requirements

• BS/BTech (or higher) in Computer Science, Engineering, or a related field.
• 4+ years experience as an engineer building full-stack web applications as part of a cross-functional team.
• 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
• 2+ years of experience acting as a trusted technical decision-maker in a team setting.
• 2+ years of experience coaching other engineers.

Nice to have

• Proficiency in machine learning algorithms and techniques.
• Experience in deploying machine learning models into production environments.
• Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc).
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Experience with security and systems that handle sensitive data.

Culture & Benefits

• Embrace strategies that minimize risk, leaning towards observability, alerting, metrics, and high test coverage.
• Focus on frequent releases that incrementally build value.
• Opportunity to mentor and coach more junior engineers.
• Work collaboratively with Engineering Managers, Product Managers, and stakeholders using Agile processes.

Hiring process

• Application materials may be organized and evaluated using automated tools, including AI.
• Human judgment plays an essential role in the hiring process, including in the oversight and use of any automated tools.