Your opportunity
Join our dynamic team as a Senior Machine Learning Engineer, where you'll drive innovation across the entire ML lifecycle. You'll work on cutting-edge conversational AI bots, a Retrieval-Augmented Generation (RAG) system, and traditional ML solutions for our observability platform. This role involves both operational and engineering tasks, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. You will also focus on fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments.
What you'll do
- Model Fine-Tuning: Enhance the performance of generative AI models.
- AI Agent Design: Create intelligent agents for conversational AI applications.
- Innovation & Experimentation: Utilize new techniques to develop models for observability-related use cases.
- Pipeline Development: Build and maintain efficient inference pipelines for model deployment.
- Model Management: Oversee deployment and model versioning for seamless updates.
- Continuous Validation: Develop tools to ensure model accuracy and performance in production environments.
This role requires
Experience: 5+ years in machine learning or related fields.
Education: Bachelor’s or advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Mathematics, or related disciplines.
Technical Expertise:
- Proven proficiency in deploying and managing ML models in production.
- Hands-on experience with transformer models and text embeddings.
- Familiarity with ML/NLP libraries, such as PyTorch, TensorFlow, Hugging Face Transformers, and SpaCy.
- 3+ years of experience with Python for developing production-grade applications.
- Proficiency in Kubernetes and containerization technologies.
- Knowledge of scikit-learn, Kubeflow and Seldon.
- Expertise in Python, C++, Kotlin, or similar programming languages.
- Experience creating scalable distributed systems.
- Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
- Understanding of application instrumentation and monitoring practices.
- Experience with ML workflow management tools like Airflow, Argo or SageMaker.
Bonus points if you have
- Familiarity with the AWS ecosystem.
- Experience with the construction of agentic language chains.
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 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
