2d
ML Engineer 2
ML Engineer 2
Requisitos
3+ years of experience designing, deploying, and supporting large-scale machine learning systems
Solid experience working with GenAI models, transformers, and deep-learning techniques
2+ years of experience developing production-grade applications using Python
Familiarity with machine learning frameworks such as PyTorch and Tensorflow
Experience with orchestration tools such as Airflow, KubeFlow, and Argo
Demonstrated success in working closely with product and engineering teams, consistently driving initiatives to completion through rapid and frequent iteration
Anuncio original
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!
Your opportunity
New Relic's observability platform is trusted by organizations globally to facilitate better software development through data-driven insights. Logs constitute a core element of this platform. To begin understanding a system, the initial step is transmitting logs and other telemetry to New Relic. Our thousands of customers depend on their logs, analyzing petabytes of log data, to effectively detect and resolve issues.
We are looking for a Machine Learning Engineer to join a new, fast-growing team and contribute to exciting projects. This team is focused on Logs Intelligence, a critical suite of AI-driven innovations designed to transform raw, unstructured log data into actionable insights. If you enjoy solving tough problems and want to develop your engineering skills, we encourage you to apply!
What you'll do
- Help shape the technical direction for Logs Intelligence
- Implement, test, and deploy robust and scalable machine learning and GenAI systems
- Proactively seek mentorship and learning opportunities to grow within the team and the engineering community
- Contribute to cross-team projects and reliably deliver tasks that support business results
This role requires
- 3+ years of experience designing, deploying, and supporting large-scale machine learning systems
- Solid experience working with GenAI models, transformers, and deep-learning techniques
- 2+ years of experience developing production-grade applications using Python
- Familiarity with machine learning frameworks such as PyTorch and Tensorflow
- Experience with orchestration tools such as Airflow, KubeFlow, and Argo
- Demonstrated success in working closely with product and engineering teams, consistently driving initiatives to completion through rapid and frequent iteration
Bonus points if you have
- Familiarity with streaming platforms like Kafka
- Experience in Javascript
- Experience in Java or other similar programming languages
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us - including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.
We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
Our hiring process
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy
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