Senior Platform Engineer, Machine Learning
Fieldguide188,000 - 213,500 USD/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates must possess strong programming skills in Python and Javascript, along with experience in building backend APIs and services. Prior experience in setting up CI/CD pipelines for machine learning integration is essential, as well as an understanding of machine learning workflow management and scaling model serving infrastructure.
Responsibilities
The Founding Machine Learning Infrastructure Engineer will design and implement scalable ingestion pipelines using Kafka and Flink for real-time data streams. They will build and maintain backend APIs that interface with machine learning components and storage layers. The role involves integrating observability and CI/CD practices for rapid iteration and feedback, supporting research and experimentation of new ML models, and collaborating with ML Engineers to enhance infrastructure and workflows.
Skills
Python
Javascript
Kafka
Flink
API Development
Data Streaming
Observability
CI/CD
Scalability
Pear VC
Venture capital firm for early-stage startups
About Pear VC
Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.
Key Metrics
San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees