15 часов назад
ML Engineer 2 (GenAI)
140 500 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Engineer 2 (GenAI): Building scalable machine learning solutions with an accent on LLM applications, data pipelines, workflow pipelines, and applied ML development. Focus on architecting ingestion and transformation systems, developing Kubeflow workflows, and deploying production-ready GenAI and deep learning applications.
Location: Mountain View, California; New York, New York; or San Diego, California, United States
Salary: $140,500–$190,000 in Mountain View; $136,000–$184,000 in New York; $127,000–$172,000 in San Diego. Additional compensation may include a cash bonus, equity rewards, and benefits.
Company
is a financial technology platform behind products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Use LLMs and GenAI agents to develop rapid prototypes and production-ready solutions.
- Architect scalable data pipelines for ingestion, transformation, and persistence.
- Design workflow pipelines with Kubeflow for machine learning applications.
- Develop secure, efficient, and scalable software and machine learning features.
- Implement algorithms, write unit tests, fix defects, and deploy code for automated testing.
- Collaborate with Product Managers, Senior Engineers, and Staff Engineers in an Agile/Scrum environment.
Requirements
- MS or PhD in Computer Science, Machine Learning, or Data Engineering.
- 4+ years of industry experience.
- Strong object-oriented programming, algorithmic problem-solving, and systems architecture skills.
- Experience with AWS, including services such as S3, SageMaker, and EC2.
- Experience with containers, Kubernetes, data engineering, and machine learning workflows.
- Practical experience with Python, Pandas, NumPy, ML lifecycle processes, applied machine learning, and LLM-backed applications such as RAG or agentic workflows.
Culture & Benefits
- Work on products used by approximately 100 million customers worldwide.
- Agile/Scrum software development environment.
- Competitive compensation with performance-based rewards.
- Eligibility for cash bonus, equity rewards, and employee benefits.
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