Senior Manager, Software Engineering - Machine Learning
Senior Manager, Software Engineering - Machine Learning
Senior Manager, Software Engineering
Req ID
FY24|R&D|#5389
Location(s)
Atlanta, Georgia, USA; Baltimore, Maryland, USA; Boston, Massachusetts, USA; Charleston, South Carolina, USA; Chicago, Illinois, USA; Cincinnati, Ohio, USA; Des Moines, Iowa, USA; Detroit, Michigan, USA; Kansas City, Missouri, USA; Los Angeles, California, USA; Nashville, Tennessee, USA; New Orleans, Louisiana, USA; Philadelphia, Pennsylvania, USA; Phoenix, Arizona, USA; Portland, Oregon, USA; San Francisco, California, USA; San Jose, California, USA; Seattle, Washington, USA; St. Louis, Missouri, USA; Washington, District of Columbia, USA;
Work arrangement(s)
Fully Remote (works exclusively from home)
Your opportunity

We are looking for a Senior Machine Learning Manager to lead our Root Cause Analysis Team.

The team develops novel solutions that are setting a new industry standard for application and system observability. AIOps is an emerging field in the IT operations ecosystem that focuses on augmenting existing operations with machine learning and data science approaches. By Working with huge datasets and modern data analysis frameworks, we are finding new ways to automatically observe applications, improve the understanding of production incidents, and eventually, provide Root Cause Analysis.

Please note that visa sponsorship is not available for this position!

Opportunity to work from a remote office may be available depending on the applicant's location.


What you'll do

    Mentor and grow your team, encouraging a culture of innovation and collaboration while ensuring the team's skills align with evolving challenges

    Partner with cross-functional teams and stakeholders, ensuring solutions meet diverse needs and communicating team progress effectively

    Harness vast datasets to develop and refine ML solutions, collaborating with data engineers to optimize infrastructure and analysis

    Pioneer's innovative machine learning solutions for enhanced observability, promoting faster and more accurate incident detection and resolution

    Drive the vision and strategy Root Cause Analysis, aligning with New Relic's goals and the dynamic AIOps landscape

    This role requires

      Proficiency in major machine learning frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, etc.

      5+ years of proven experience leading highly successful engineering teams

      7+ years of proven experience in machine learning or a closely related domain

      A bachelor's degree in Computer Science, Software Engineering, or equivalent experience, focusing on AI/ML/DL

      Bonus points if you have

        Experience working in the AIOps domain or familiarity with its challenges and opportunities

        Publications or contributions to major AI/ML journals or conferences

        Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field

        3+ years of developing production-grade applications in Python

        Experience with AWS

        Experience with deploying Machine Learning models in production

        We're looking for bold and passionate people to be a part of our mission to help every engineer do their best work, every day, using data, not opinions, at every stage of the software lifecycle. We'd love to have you apply, even if you don't feel you meet every single requirement. What's most important to us is finding authentic and accountable people who feel connected to our mission and values, not just candidates who check off all the boxes.
        We believe in empowering all Relics to achieve professional and business success through a workforce model called Flex First. Flex First allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
        Read more about Flex First.
        Our hiring process

        Please 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 an equal opportunity employer. We eagerly seek applicants of diverse background and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law.

        Interested in the details of our privacy policy? Read more here.

        Estimated Base Pay Range: $ 186,000 - $ 233,000
        The pay range above represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan and may be eligible for a competitive equity package. 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 - midpoint
        233,000
        Wage - minimum
        186,000
        #LI-MM4 #LI-Remote
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