Staff Machine Learning Engineer - Remote
Job Description
Responsibilities
- Design and build the next generation of ML architecture that will power large-scale data science projects
- Manage and enhance the current ML platform that trains and deploys Clariâs AI models
- Design and develop the next-generation data pipeline architecture for powering all of Clariâs AI models
- Learn and contribute to all aspects of the data science platform
- Write scalable, robust, and fully tested software for deployment in mission-critical production environments
- Own modules of the Data and ML pipelines that you work in
- Become an industry expert in data pipeline and model-building architectures
Qualifications
- 8+ years of development experience using Java or similar object-oriented languages for server-side development
- 4+ years of background in AI, Machine Learning, and Data Science
- 4+ years of experience building ML and data pipeline architectures
- Knowledge of Python, Scala and frameworks such as TensorFlow, PyTorch, Keras.
- Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
- Experience delivering successful software projects from inception through deployment
- Strong problem-solving skills and expertise in data structures and algorithms
- Experience building scalable systems and architectures
- A passion for answering questions by analyzing data
- Experience working with and building enterprise-scale ML and data platforms is a plus
- A proven track record of developing applications that are deployed in production and widely used by customers is a plus
- Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus
Perks and Benefits @ Clari
- Remote-first with opportunities to work and celebrate in person
- Medical, dental, vision, short & long-term disability, Life insurance, and EAP
- Mental health support provided by Modern Health
- Pre-IPO stock options
- Well-being and professional development funds
- Retirement 401(k) plan
- 100% paid parental leave, plus fertility and family planning support provided by Maven
- Discretionary paid time off, monthly âtake a breakâ days, and Focus Fridays
- Focus on culture: Charitable giving match, plus in-person and virtual eventsÂ
Date Posted
10/23/2023
Views
4
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