Machine Learning Engineer

Your opportunity

Interested in building core Data Analytics models that power the Growth, GTM, Product, User360 and Finance teams at New Relic? We seek AI/ML engineers who are passionate about data at scale and generate useful insights to build a Data-Driven Operating Model at New Relic!

We are a fast-growing Data Engineering & Technology team building an “internal-facing data product” with a bold, ambitious vision to build the core data foundation for a successful consumption business. We build core data products, promote data-driven culture, modernize insights through self-service, and establish a single source of truth in business and customer metrics!

What you'll do

• Develop and maintain machine learning pipelines for data processing, model training, and deployment.
• Train, evaluate, and optimize machine learning models to ensure accuracy, efficiency, and scalability.
• Monitor and evaluate the performance of machine learning models in production and identify opportunities for improvement.
• Work with stakeholders, data analysts and data engineers to design, develop, and deploy machine learning models and deep learning architectures to solve business outcomes of customer acquisition, cross-sell/upsell, and customer retention.
• Leverage languages such as Python and SQL, and relevant libraries (NumPy, Pandas) to manipulate data and draw insights from large data sets.
• Build RAG pipelines to drive business outcomes by leveraging LLM techniques for facilitating improved customer engagement and decision-making processes.

This role requires

• BS/MS degree in Computer Science or PhD in Statistics, Mathematics, Data Science or relevant field.
• At least 3+ years of experience as a Data Scientist or ML Engineer.
• Hands-on experience in writing production code in Python and SQL.
• 3+ years of experience in demonstrating use of numerical and machine learning libraries (NumPy, Pandas, scikit-learn, Tensorflow, etc.)
• Strong experience with the open-source and AWS Cloud ecosystem (experience with EMR, EKS, Snowflake, S3, SageMaker, and abacus.ai).
• Proven experience in designing, developing, and deploying machine learning models, with a strong focus on NLP tasks.
• Expertise in LLM architectures and frameworks (e.g., Transformer models, GPT).
• Expertise in Machine Learning/statistical techniques, including Regression, Classification,
• Ensemble Methods, Deep Learning, and Reinforcement Learning).
• Hands-on experience with git.

Bonus points if you have

• Dbt experience is good to have

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

Qualified applicants may inquire about visa sponsorship (including transfer of a current H-1B visa), but the company does not support or sponsor O-1, F-1, or J-1 visas, or candidates who require commencement of an H-1B "cap case" petition for future work authorization. This position is to be filled as soon as possible.

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.

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