Lead Software Machine Learning Engineer - Anomaly Detection (Remote)

Lead Software Machine Learning Engineer - Anomaly Detection (Remote)Lead Software Machine Learning Engineer - Anomaly Detection (Remote)Lead Machine Learning EngineerReq IDFY25|R&D|#6489Location(s)Atlanta, Georgia, USA; Baltimore, Maryland, USA; Charleston, South Carolina, USA; Charlotte, North Carolina, USA; Chicago, Illinois, USA; Cleveland, Ohio, USA; Dallas, Texas, USA; Houston, Texas, USA; Kansas City, Missouri, USA; Minneapolis, Minnesota, USA; Portland, Oregon, USA;Work arrangement(s)Fully Remote (works exclusively from home)Your opportunityWe are looking for a Lead Software Machine Learning Engineer to join the Applied Intelligence Anomaly Detection Team.We are seeking an experienced and skilled Lead Software Machine Learning Engineer to join our team of innovators. As a Lead Software Machine Learning Engineer on our Anomaly Detection team, you will be responsible for designing, developing, and deploying advanced anomaly detection solutions that identify and mitigate potential threats to our systems and data. You will lead a team of engineers in the development of novel algorithms, models, and tools that can detect and respond to anomalies in real-time.Opportunity to work from a remote office may be available depending on the applicant location.What you'll do• You will have the chance to work closely with data scientists and engineers to bring innovative ideas to fruition on top of multiple cloud vendors.• You will be expected to embrace engineering best practices in design and coding, and you will be responsible for data pipelines and tools that enable data analysis on a large scale.• You will collaborate with engineering teams across the organization to integrate machine learning capabilities into various products.• Lead a team of engineers in the design, development, and deployment of anomaly solutions.• Develop novel machine learning and statistical algorithms for anomaly detection that can handle large volumes of data and identify complex patterns.• Design and implement scalable architectures for anomaly detection systems that can integrate with existing infrastructure.• Collaborate with data scientists to analyze large datasets and identify potential anomalies, trends, and correlations.• Train and validate machine learning models using large datasets and evaluate their performance on detecting anomalies.• Deploy and maintain anomaly detection systems in production environments, ensuring high availability and low latency.• Mentor junior engineers and provide technical guidance on anomaly detection solutions.• Stay up-to-date with the latest research and advancements in anomaly detection and apply this knowledge to develop innovative solutionsThis role requires• Experience: 5+ years of experience in anomaly detection, machine learning, or data science.• Proficiency in programming languages such as Python, R, Java, or Julia.• Experience with machine learning frameworks.• Knowledge of statistical modeling and hypothesis testing.• Familiarity with cloud-based technologies such as AWS, Azure, or Google Cloud.• Familiarity working with distributed systems and building systems for scale.• Experience with data storage technologies, such as SQL databases, NoSQL databases, and data lakes• Bachelor's or Master's or Ph.D. degree in Computer Science, Engineering, Statistics, or a related field.Leadership Skills:• Proven experience in leading teams and mentoring junior engineers.• Strong communication and collaboration skills.• Ability to work independently and make technical decisions.Bonus points if you have• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.• Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark.• Experience advocating for improvements to architecture and clearly articulating reasons why and assessing tradeoffs.Please note that visa sponsorship is not available for this position.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 visit https://newrelic.avature.net/accommodations to submit your request.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 processPlease note that visa sponsorship is not available for this position.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 is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.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.Estimated Base Pay Range: $ 180,000 - $ 225,000The pay range above represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.Wage - midpoint225,000Wage - minimum180,000#LI-JH1 #LI-RemoteThis field has no functionality and it was added so that we could display the separator above