Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Upwork
Lead Machine Learning Infrastructure Engineer - Infrastructure & Data
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess strong technical expertise in designing and building scalable ML infrastructure, experience with distributed systems and cloud-based ML platforms, proficiency in programming languages such as Python, Java, or Scala, and a deep understanding of ML workflows including data pipelines, model training, and deployment. A collaborative mindset with excellent communication skills is also required, alongside a passion for innovation and eagerness to implement the latest advancements in ML infrastructure, and the ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.
Responsibilities
As a Lead Machine Learning Infrastructure Engineer, you will be responsible for designing, implementing, and optimizing distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving. You will develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, architect and implement highly available, fault-tolerant, and secure systems, collaborate with machine learning researchers and data scientists, and mentor junior engineers, conduct code reviews, and uphold engineering best practices.
Skills
Distributed Systems
Cloud-based ML Platforms
Python
Java
Scala
ML Workflows
Data Pipelines
Model Training
Deployment
System Optimization
Problem-Solving
Communication
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Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$143.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees