Atlassian
Principle ML / AI Engineer
Atlassian - Seattle, Washington, us, 98127
Work at Atlassian
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Principle ML / AI Engineer
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Atlassian 1 day ago Be among the first 25 applicants Join to apply for the
Principle ML / AI Engineer
role at
Atlassian 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. 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.
About The Role
We are looking for an experienced Principal engineer in the ML/AI domain to drive the vision, development, and launch of AI-powered products and platforms at Loom. You will lead initiatives across two key areas:
AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Loom's product teams. NextGen AI - Exploring cutting-edge AI applications (e.g. chatbot experiences, generative AI features) to shape the future of our products.
This role requires strong technical leadership with a balance of hands-on engineering and strategic decision-making and cross-functional collaboration to ensure successful end-to-end delivery of AI solutions.
Joining Loom is an opportunity to be at the forefront of industry transformation - how video is used at work and how AI can leapfrog video creation, editing and consumption. In this role, you will lead foundational AI investments and ship innovative product experiences powered by generative AI across the product
Responsibilities
Define the technical vision and roadmap for AI Foundation and NextGen. End-to-end ownership - from prototyping and development to productionization. Hands-on work in prompt engineering, model iteration, and training/inference systems. Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact. Facilitate product and technical decisions, ensuring alignment with business goals. Drive platformization of AI/ML systems to improve scalability, reliability and adoption across teams. Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption. Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges. Evaluate in-house model development vs. third-party APIs for ML/AI solutions. Establish best practices for AI development, quality measurement, monitoring and scalability.
Qualifications
Must-Have:
7+ years of experience in machine learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML. Proven track record of tech-leading AI/ML products from conception to launch. Strong platform mindset - experience building reusable tools/infras to accelerate AI development. Strong programming skills in JS and Python. Excellent communication and collaboration skills.
Nice-to-Have
PhD or MS in a relevant field. Background in ML modeling (training/finetuning ML models). Experience with chatbots, generative AI, or LLM-powered applications.
Compensation
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: $206,100 - $269,075
Zone B: $186,300 - $243,225
Zone C: $171,900 - $224,425
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
go.atlassian.com/perksandbenefits
.
About Atlassian
At 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 or adjustments 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
. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Principle ML / AI Engineer
role at
Atlassian 1 day ago Be among the first 25 applicants Join to apply for the
Principle ML / AI Engineer
role at
Atlassian 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. 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.
About The Role
We are looking for an experienced Principal engineer in the ML/AI domain to drive the vision, development, and launch of AI-powered products and platforms at Loom. You will lead initiatives across two key areas:
AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Loom's product teams. NextGen AI - Exploring cutting-edge AI applications (e.g. chatbot experiences, generative AI features) to shape the future of our products.
This role requires strong technical leadership with a balance of hands-on engineering and strategic decision-making and cross-functional collaboration to ensure successful end-to-end delivery of AI solutions.
Joining Loom is an opportunity to be at the forefront of industry transformation - how video is used at work and how AI can leapfrog video creation, editing and consumption. In this role, you will lead foundational AI investments and ship innovative product experiences powered by generative AI across the product
Responsibilities
Define the technical vision and roadmap for AI Foundation and NextGen. End-to-end ownership - from prototyping and development to productionization. Hands-on work in prompt engineering, model iteration, and training/inference systems. Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact. Facilitate product and technical decisions, ensuring alignment with business goals. Drive platformization of AI/ML systems to improve scalability, reliability and adoption across teams. Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption. Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges. Evaluate in-house model development vs. third-party APIs for ML/AI solutions. Establish best practices for AI development, quality measurement, monitoring and scalability.
Qualifications
Must-Have:
7+ years of experience in machine learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML. Proven track record of tech-leading AI/ML products from conception to launch. Strong platform mindset - experience building reusable tools/infras to accelerate AI development. Strong programming skills in JS and Python. Excellent communication and collaboration skills.
Nice-to-Have
PhD or MS in a relevant field. Background in ML modeling (training/finetuning ML models). Experience with chatbots, generative AI, or LLM-powered applications.
Compensation
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: $206,100 - $269,075
Zone B: $186,300 - $243,225
Zone C: $171,900 - $224,425
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
go.atlassian.com/perksandbenefits
.
About Atlassian
At 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 or adjustments 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
. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Artificial Intelligence Engineer jobs in
Seattle, WA . Seattle, WA $105,600.00-$190,800.00 1 week ago Seattle, WA $176,600.00-$225,900.00 3 weeks ago California, United States $100,000.00-$720,000.00 5 days ago Machine Learning Engineer, Core Engineering
Seattle, WA $150,000.00-$220,000.00 19 hours ago Seattle, WA $198,000.00-$230,000.00 5 days ago Seattle, WA $140,000.00-$180,000.00 2 days ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Sr Machine Learning Engineer, Applied Research Science
Seattle, WA $159,300.00-$230,300.00 2 weeks ago Bothell, WA $162,920.00-$213,304.00 4 months ago Senior Software Engineer, Data Infrastructure
Greater Seattle Area $157,000.00-$235,000.00 4 days ago Seattle, WA $209,700.00-$303,150.00 1 week ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Seattle, WA $209,700.00-$303,150.00 1 day ago Seattle, WA $115,000.00-$260,000.00 2 days ago Seattle, WA $170,000.00-$253,000.00 6 days ago Seattle, WA $205,000.00-$307,000.00 6 days ago Seattle, WA $241,200.00-$348,975.00 5 days ago Seattle, WA $150,000.00-$200,000.00 2 weeks ago Seattle, WA $140,000.00-$160,000.00 1 day ago Greater Seattle Area $197,000.00-$266,000.00 1 week ago Seattle, WA $175,000.00-$250,000.00 2 weeks ago Senior Principal Machine Learning Engineer-AI (FULLY REMOTE)
Seattle, WA $242,400.00-$363,600.00 2 weeks ago Seattle, WA $140,000.00-$200,000.00 1 week ago Senior Software Engineer - Data Processing
Greater Seattle Area $155,000.00-$190,000.00 3 days ago Bremerton, WA $112,800.00-$257,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr