Senior Machine Learning Engineer

Atlassian
Atlanta, GA, United States
3 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$206,100 - $269,075
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Business Software Software as a Service Cloud Database Python (Programming Language) Machine Learning SQL Databases Systems Architecture Large Language Models
+8 more
Apache Spark Deep Learning Information Technology Atlassian Tools Production Code Data Management Multiaccess Edge Computing Databricks

Job description

As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services.

Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI’s transformative potential is realized across our offerings.

Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are

Requirements

Machine Learning, Legal, Onboarding, Machine Learning, Artificial Intelligence (AI), Data Management, Algorithms, Product Engineering, People Management, System Architecture, Bachelor’s or Master’s degree (preferably a Computer Science degree or equivalent experience)

4+ years of related industry experience in the data science domain

Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)

Experience building and scaling machine learning models in business applications using large amounts of data

Agile development mindset, appreciating the benefit of constant iteration and improvement

It’s great, but not required, if you have

Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

Experience in developing deep learning-based models and working on LLM-related applications

Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

Benefits & conditions

Zone A: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

On the first day, we’ll expect you to have

About the company

Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is seeking a Senior Machine Learning Engineer to join our Central AI team.

The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

Your future team

The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…