Machine Learning Engineer, JSM

Job Description

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian Creates software that empowers everyone from small start-ups to large enterprises. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned - collaboration is the heart of every product we dream of at Atlassian.Atlassian helps teams everywhere change the world. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity.We re looking for people who want to write the future and who believe that we can accomplish so much more together than apart.At Atlassian, we re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.Role and ResponsibilitiesThe Machine learning engineer will work on AI features for IT operations and IT Service management products at Atlassian.Some of the important tasks that they would take up are:Take ownership of building, maintaining, and testing ML micro-services end-to-end.Continuously curate and collate validation datasets and perform periodical quantitative validation studies.They will work closely with the designers, and developers to plan the right experience and analytics required to perform qualitative user validation.They will also be responsible for communicating the results to non-technical stakeholders.Formulate the ML problem end-to-end, identify the right feasibility and usability validation techniques based on requirements given by product managers.Required skillsHas experience building an ML process end-to-end: Beginning from problem formulation, experimentation to pipeline design, building model serving APIs, and deploying.Should be well versed and have experience in working with PythonHave worked with ML frameworks and libraries like PyTorch, Tensorflow, PySpark, Sci-kit, Numpy, Pandas.Has previously worked on ML technology like Language models, NLP, NLU, Anomaly detection, time series analysis. They should have worked on (or have knowledge) about models like Random Forest, XGBoost, SVM, and deep learning models like BERT, USE, SpanBERT, etc.Good to haveHas experience fine-tuning pre-trained deep learning models, and deployed/used them in a production setting.Has knowledge of AWS services and orchestration designs - Lambda deployments, SQS, etc.Should have experience working with large-scale data for fine-tuning and validation.Experience in JavaMore about our benefitsWhether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.More about AtlassianCreating software that empowers everyone from small startups to the who s who of tech is why we re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team .Additional InformationWe believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyones perspectives and experience we never discriminate on the basis of 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.If your experience looks a little different from what we ve identified and you think you can rock the role, we d love to learn more about you.Learn more about Atlassian s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub .,

Keyskills :
anomaly detectionit operationstime seriessoftware industryit service managementbuild toolsdeep learningpipeline designbehavioral trainingproject administrationservice managementmachine learning