TELECOMMUTE Principal Machine Learning Systems Engineer

Atlassian
United States
2 months ago
Apply on dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$232,200.0 - $303,150.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Machine Learning Atlassian Tools

Job description

As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Atlassian’s biggest bet and fastest area of growth, Rovo Chat. You will bring the latest bleeding edge innovations to the product and build agent harnesses that deliver a step function improvement in quality, reliability and latency.

You will have the opportunity to lead other engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results. Your role is pivotal, stretching beyond these tasks, ensuring AI’s transformative potential is realized across our offerings. Your future team

The Rovo & AI Engineering org’s mission is to make Rovo the fastest, most trusted way for any team to find, understand, and act on their organization’s knowledge. Over the last year, the team has made rapid strides along this direction and the product surface has witnessed a 10x growth as a direct result of this effort.

Requirements

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

  • 7+ years of experience as a software developer
  • Experience building customer facing Gen AI Applications at scale
  • Experience pushing the state of the art to achieve breakthrough quality and reliability
  • Deep understanding of Machine Learning projects lifecycle
  • Experience leading and supporting senior engineers and working cross functionally

It would be great, but not required if you have

  • Expertise in taking a platform approach to building product features, enabling multi team contributions
  • Experience with efficiently scaling and deploying Machine Learning models

Benefits & conditions

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate’s skills, expertise, or experience.

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:

Zone A: $232,200 - $303,150

Zone B: $209,700 - $273,775

Zone C: $193,500 - $252,625

This role may also be eligible for benefits, bonuses, commissions, and equity.

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.

Apply for this position

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

Apply on dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:43 min

Core foundations for successful artificial intelligence transformation

Alexander Birke Alexander Birke +1 · World Congress 2024

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

Videos

See all

Related articles

See all