Machine Learning Engineer
3 weeks ago
Working at Atlassian
Atlassians have flexibility in 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 looking for a Machine Learning Engineer to join our Core Machine Learning team based in Mountain View, CA. The Core Machine Learning team builds and deploys ML modeling solutions to drive revenue generation, expand our active user base and enhance internal productivity and efficiency. This is accomplished by driving the complete end-to-end ML development cycle. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially recommendation systems, and tackle challenging and distinctive problems.
Your future team
The Core Machine Learning team sits within the Data Technology Insights group in the Atlassian Corporate Engineering Organization. The team is tasked with pursuing machine learning opportunities that generate revenue or MAU improvements or enhance internal operational efficiencies. We work cross-functionally across stakeholders in Growth, GTM, product, and internal teams, providing machine learning infrastructure and modeling applications. Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.
What you'll do
As a Machine Learning Engineer, you will work on the development and implementation of the cutting-edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large scaled recommendation system to recommend the best content, notifications and actions to our customers. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various business problems to improve Atlassian Growth intelligence.
Qualifications
- Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
- 3+ years of Experience in machine learning domain
- Expertise in Python 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 recommendation systems and deep learning-based models
- 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
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: $173,400 - $231,100
Zone B: $156,500 - $208,000
Zone C: $143,900 - $191,900
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit 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.
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
To learn more about our culture and hiring process, visit .
-
Machine Learning Engineer
1 day ago
Austin, United States PayPal Full timePayPal is looking for an individual contributor with strong ML engineering background in the Global Analytics and Data Science (GADS) Organization to design and develop a suite of machine learning solutions driving large-scale personalization of financial services, merchant products and action recommendations for millions of PayPal customers across the...
-
Senior Machine Learning Engineer
1 day ago
Austin, United States Kung Fu Full timeKUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. We empower CEOs and senior executives to leverage the full potential of AI so they remain competitive in a rapidly evolving world. Our expert team delivers AI strategy and bespoke production-grade solutions that allow clients to rapidly realize value. We...
-
Machine Learning Engineer
1 week ago
Irving, TX, United States Ascendion Inc. Full timeAbout Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients....
-
Lead Machine Learning Engineer
7 days ago
Austin, United States Cybotic Systems Full timeMachine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines. Proven ability to work with a variety of data sources, including structured and unstructured data. Strong experience in Python (MLlib, TensorFlow, and PyTorch). Skills: Machine learning libraries:...
-
Machine Learning Engineer
18 hours ago
Irving, TX, United States Ascendion Inc. Full timeAbout Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients....
-
Machine Learning Engineer
1 day ago
Austin, United States Cynet Systems Full timeWe are looking for Machine Learning Engineer (Software Developer) for our client in Austin, TX Job Title: Machine Learning Engineer (Software Developer)Job Location: Austin, TXJob Type: ContractJob Description:Responsibilities:Designing and developing machine learning systems and predictive models.Running machine learning tests and experiments.Implementing...
-
Machine Learning Engineer/ Lead
8 hours ago
Austin, United States Diversitynexus Full timeJob Description Hands on CI/CD experience with real time computer vision using DNN, CNN, RNN, LSTM Exp in Client module deployments & Engineering background (avoid Data analyst, management & Data Scientist profiles) Knowledge of common data science techniques including data preparation, exploration, and visualization Experience in using statistical computer...
-
Machine Learning Engineer
2 weeks ago
Austin, United States CCS IT Full timeNote: As it a C2H role, No Student visa's & H1B's.Must Haves:5+ years of full-time work experience in one or more relevant machine-learning roles.Proven experience as a Machine Learning Engineer or in a similar role.Experience with developing machine learning models at scale from inception to business impactStrong expertise in machine learning frameworks...
-
Machine Learning Engineer
1 day ago
Austin, United States CCS IT Full timeNote: As it a C2H role, No Student visa's & H1B's. Must Haves: 5+ years of full-time work experience in one or more relevant machine-learning roles. Proven experience as a Machine Learning Engineer or in a similar role. Experience with developing machine learning models at scale from inception to business impact Strong expertise in machine learning...
-
Machine Learning/AI engineer
1 day ago
Austin, United States Perfict Global, Inc. Full timeAbout Us: Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in...
-
Machine Learning Engineer
7 days ago
Irving, TX, United States Ascendion Inc. Full timeAbout Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients....
-
Machine Learning Engineer II
6 hours ago
Austin, United States I-Con Technology Full timeNow Hiring Machine Learning Engineer II ICON is looking for a Machine Learning Engineer to join the BuildAI team. BuildAI is ICON's software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. As a Machine Learning Engineer at ICON, you will...
-
Machine Learning Engineer
2 days ago
Austin, United States EPMintegrators Inc. Full timeJob Title: Machine Learning EngineerDuration: 06 Months Location: Austin, TX – Onsite Description:· Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.· Proven ability to work with a variety of data sources, including structured and unstructured data.· Strong experience in...
-
Machine Learning Engineer
1 week ago
Austin, United States EPMintegrators Inc. Full timeJob Title: Machine Learning EngineerDuration: 06 Months Location: Austin, TX – Onsite Description:· Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.· Proven ability to work with a variety of data sources, including structured and unstructured data.· Strong experience in...
-
Machine Learning Engineer
1 week ago
Austin, United States EPMintegrators Inc. Full timeJob Title: Machine Learning EngineerDuration: 06 Months Location: Austin, TX – Onsite Description:· Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.· Proven ability to work with a variety of data sources, including structured and unstructured data.· Strong experience in...
-
Machine Learning Engineering Manager
5 days ago
Austin, Texas, United States Apple Full timeSummaryPosted: Apr 11, 2024Role Number: Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of Machine Learning Engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers. You will build and lead a team of SDS data...
-
Machine Learning Engineer II
1 day ago
Austin, United States ICON Full timeICON is looking for a Machine Learning Engineer to join the BuildAI team. BuildAI is ICON's software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. As a Machine Learning Engineer at ICON, you will have the opportunity to work with some of...
-
Machine Learning Engineer
1 day ago
Austin, United States Conexess Full timeOur History: From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track...
-
Austin, United States Trilyon, Inc. Full timeJob DescriptionJob DescriptionDescription: *** HM requires that each submitted candidate complete the Pre-Screen Questions attached. Failure to attach completed questions will result in automatic candidate rejection*** Location: Austin, TX Job Title: Machine Learning Engineer/Software Developer Job Description: We are seeking a highly skilled and experienced...
-
Machine Learning Engineer
17 hours ago
Irving, TX, United States Ascendion Inc. Full timeAbout Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients....