Lead Machine Learning Engineer #7577
Lead Machine Learning Engineer #7577
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Job Description
As a crucial member of our team youll play a pivotal role across the entire machine learning lifecycle contributing to our strategic Agentic AI platform Conversational AI bots RAG platform and traditional ML problem solving for our observability platform. Your tasks will encompass both science engineering and operational aspects including building production-ready inference pipelines deploying and versioning models and implementing continuous validation processes. On the LLM side youll fine-tune generative AI models design agentic language chains and prototype recommender system experiments. Additionally you will lead and guide the other Senior and Junior ML Engineers and assist the teams manager in the team-level tasks.
What youll do
- Lead end-to-end development of Agentic AI Platform service.
- Building and maintaining inference pipelines for efficient model deployment.
- Experimenting with new techniques of ML models for observability use cases.
- Managing deployment and model versioning pipelines for seamless updates.
- Fine-tuning generative AI models to enhance performance.
- Designing AI Agents for conversational AI applications.
- Developing tooling to continuously evaluate models in production environments.
Must have
- 8 Years of overall experience
- Bachelors or advanced degree in Computer Science Engineering Mathematics or a related field. Advanced degree (Masters or Ph.D.) preferred.
- Demonstrated proficiency in software engineering design practices.
- Experience working with GenAI models transformers and deep-learning techniques.
- 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.
- 4 years of developing production-grade applications in Python.
- Proficiency in Kubernetes and containers.
- Familiarity with concepts/libraries such as sklearn kubeflow argo and seldon.
- Expertise in Python is a must. Experience designing developing and testing scalable distributed systems.
- Experience with ML workflow management like AirFlow Sagemaker etc.
- Experience guiding other Engineers in the past.
Nice to have:
- Familiarity with message broker systems (e.g. Kafka RabbitMQ).
- Knowledge of application instrumentation and monitoring practices.
- Familiarity with the AWS ecosystem.
- Past projects involving the construction of agentic language chains.
- Experience in C Kotlin or other similar programming languages.
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. 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 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 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 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.
Employment Type
Full Time
Key Skills
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