Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building the intelligence layer on top of Jira, designing AI that orchestrates work between humans and machines with an accent on inferring intent, recommending actions, and personalizing workflows. Focus on solving hard ML problems across large-scale retrieval, representation learning, and multi-modal understanding, and delivering solutions embedded directly in the product.

Location: Remote (Global). hirify.globals can choose to work from an office, home, or a combination. The company hires in any country where it has a legal entity.

Company

hirify.global is a product company focused on building work-tracking products like Jira.

What you will do

• Tackle the largest and most complex problems in the team, from technical design to launch.
• Work closely with Product, Engineering, and Design leads to translate requirements into solid engineering deliverables.
• Deliver solutions that are used by other teams and products.
• Follow a Product Engineer mindset by building data-driven and customer-centric features, fostering this culture within the Jira AI group.
• Actively contribute to code delivery through leading code reviews, documentation, and fixing complex bugs in high-risk surface areas.
• Utilize data analysis, statistical methods, and logical reasoning to inform data-driven decision-making.

Requirements

• 8+ years of overall experience and 4+ years working in Artificial Intelligence and Machine Learning.
• Fluency in at least one modern object-oriented programming language (preferably Java, Kotlin, or Python).
• Understanding of Machine Learning project lifecycle, tools, and prompt engineering.
• Experience architecting and implementing high-performance RESTful microservices.
• Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
• Experience leveraging LLMs effectively and optimizing model usage on GPUs.
• Experience with Databricks or Apache Spark, Continuous Delivery, and Continuous Integration.

Nice to have

• Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
• Experience with Amazon Sagemaker.
• Experience with scaling and deploying Machine Learning models.

Culture & Benefits

• Flexible work options: choose office, home, or a combination.
• Distributed-first company with virtual interviews and onboarding.
• Opportunity to build scalable AI-powered systems.
• Work on Jira, hirify.global’s flagship work-tracking product.
• Contribute to impactful solutions that help customers and admins coordinate, collaborate, and ship work.