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Nobel Biocare Quality Engineer, Manufacturing (On-Site Yorba Linda, CA)
Nobel Biocare USA, LLC
United States of America, CA
The Quality Assurance Engineer is responsible to ensure that production processes remain in a state of control, validation and verification activities are robust, and processes consistently…
Added 1 min ago
Senior Full Stack Engineer
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Zero Trust Implementation Lead
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Telecom Engineer
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- $101,000 to $127,000 USD / year
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Engineering Analyst I
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…where it has earned a reputation for on-time delivery of high-quality products tailored to the needs of its…
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Engineering Analyst I
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…where it has earned a reputation for on-time delivery of high-quality products tailored to the needs of its…
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Engineer
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Product Development Engineer - RWD Transmission Systems Quality Engineer
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Product Development Engineer – Wiper/Washer (Subject Matter Expert)
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…verification & validation, launch/sign-off & ongoing support & quality assurance of products in the field. In addition, the Exterior Wiper & Washer Subject Matter Expert will oversee…
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Our client, medical device manufacturing is seeking a Manufacturing Engineer 3 to join their team. As a Manufacturing Engineer 3, you will be part of the manufacturing engineering…
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Project Engineer I
About Us
Sedro Woolley, WA · Hamilton, WA
…defense, and space industries. We are looking for a Project Engineer to join our growing…
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Senior Information Security Engineer
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- $125,000 to $135,000 USD / year
…The organization's name will be shared during the interview…
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Mechanical Technician * $5,000 SIGN ON BONUS *
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- From $40.5 USD / hour
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Added 6 mins ago
Career Accelerator Program - Failure Analysis Engineer - MS/PhD - Lehi, UT
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Texas Instruments is seeking a skilled Electrical Failure Analysis (EFA) engineer to join their team in Lehi, Utah. We're at the forefront of an exciting era of growth and innovation at…
Added 7 mins ago
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Systems Engineer 4
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Atlassian

Senior Machine Learning Engineer

Remote, United States

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Job details

Apply by: Nov 5, 2027
Posting language: English
Posted: Nov 5, 2026

Original job description

Overview

Working at Atlassian 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 AIteam. 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 teamThe 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.

Responsibilities

What you’ll doAs 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:

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

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

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

Qualifications

On the first day, we'll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree orequivalent experience)3+ years of related industry experience in the data science domainExpertise in Python or Java with and the ability to write performantproduction-quality code, familiarity with SQL, knowledge of Spark andcloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in businessapplications using large amounts of dataAgile development mindset, appreciating the benefit of constant iterationand improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS productprovider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working onLLM-related applicationsExcelling in solving ambiguous and complex problems, being able tonavigate through uncertain situations, breaking down complex challengesinto manageable components and developing innovative solutions

CompensationAt 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 basepay ranges for new hires in each zone are:Zone A: $206,100 - $269,075Zone B: $185,490 - $242,168Zone C: $171,063 - $223,332This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on whichlocations are included in each of our geographic pay zones. Please visit go.atlassian.com/perksandbenefits to learn more more our perks and benefits.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations oradjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh.

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Skills

Machine learning
ML
Computer science
Python
Oracle Java
SQL
Apache Spark
AWS
Databricks
Deep learning

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