ML Product Engineer at Pear VC

San Francisco, California, United States

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$160,000 – $240,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Machine Learning, or a related field, and have at least 3 years of experience in software engineering, with a focus on machine learning. Strong programming skills in Python are required, along with experience with ML frameworks such as TensorFlow or PyTorch. Familiarity with large-scale codebases and data analysis techniques is also essential.

Responsibilities

As an ML Product Engineer, you will analyze enterprise-scale codebases to identify implicit dependencies, implement recommendation systems for similar code, extract patterns from code reviews and documentation, evaluate and build with the best tools in an AI stack, research and apply ML algorithms, build knowledge graphs, and use reasoning models to refine queries. You will also ensure system efficiency and maintainability, shape the product roadmap, and monitor systems for optimal performance.

Skills

Machine Learning

Recommendation Systems

Code Analysis

Data Analysis

Problem-Solving

Tool Configuration

ML Tools

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.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$2,738.4MTotal Funding

UNKNOWNCompany Stage

Venture Capital, Fintech, AI & Machine LearningIndustries

51-200Employees