Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Your opportunity
As a crucial member of our team youll play a pivotal role across the entire machine learning lifecycle contributing to our conversational AI bots RAG system and traditional ML problem solving for our observability platform.
Your tasks will encompass both operational and engineering aspects including building productionready inference pipelines deploying and versioning models and implementing continuous validation processes.
On the LLM side youll finetune generative AI models design agentic language chains and prototype recommender system experiments.
What youll do
In this role youll have the opportunity to contribute significantly to our machine learning initiatives shaping the future of AIdriven solutions in various domains. If youre passionate about pushing the boundaries of whats possible in machine learning and ready to take on diverse challenges we encourage you to apply and join us in our journey towards innovation.
This role requires
- Proficiency in software engineering design practices.
- Experience working with transformer models and text embeddings.
- Proven track record of deploying and managing ML models in production environments.
- Familiarity with common ML/NLP libraries such as PyTorch Tensorflow HuggingFace Transformers and SpaCy.
- 5 years of developing productiongrade applications in Python.
- Proficiency in Kubernetes and containers.
- Familiarity with concepts/libraries such as sklearn kubeflow argo and seldon.
- Expertise in Python C Kotlin or similar programming languages.
- Experience designing developing and testing scalable distributed systems.
- Familiarity with message broker systems (e.g. Kafka RabbitMQ).
- Knowledge of application instrumentation and monitoring practices.
- Experience with ML workflow management like AirFlow Sagemaker etc.
- Finetuning generative AI models to enhance performance.
- Designing AI Agents for conversational AI applications.
- Experimenting with new techniques to develop models for observability use cases
- Building and maintaining inference pipelines for efficient model deployment.
- Managing deployment and model versioning pipelines for seamless updates.
- Developing tooling to continuously validate models in production environments.
Bonus points if you have
- Familiarity with the AWS ecosystem.
- Past projects involving the construction of agentic language chains
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. Were 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 .
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 officebased 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 theSan 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 thirdparty 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 athttps://newrelic/termsandconditions/applicantprivacypolicy
Required Experience:
Senior IC
Employment Type
Full Time
