Job Description: Machine Learning Engineer

Position Overview

• Location Type: Onsite (Santa Clara, CA)
• Job Type: Full-Time
• Salary: $135K - $200K

LeanData is seeking a curious and innovative Machine Learning Engineer to build AI-driven solutions for analyzing customer journey and go-to-market data. The ideal candidate will explore, experiment, and collaborate with cross-functional teams to develop a product uncovering insights tied to customer success. The role is based in Santa Clara, CA, with a requirement to be in the office Mondays and Wednesdays each week, with lunch provided on those days.

Requirements

• Experience: 3+ years of experience in machine learning with hands-on experience building and deploying ML models.
• Programming Skills: Strong ability to experiment with and explore diverse AI/ML libraries and tools. Comfortable working with Python or similar programming languages for data analysis and model development.
• Education: Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence).
• Analytical Skills: Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
• Collaboration: Collaborative mindset with experience working in cross-functional teams.
• Pipeline Experience: Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.
• Communication Skills: Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.

Responsibilities

• Research, prototype, and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go-to-market data.
• Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies.
• Collaborate with product and engineering teams to design, develop, and deploy a scalable AI-powered product that delivers insights into go-to-market strategies and their impact on success.
• Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability.
• Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product.

Application Instructions

• Information not provided in the job description.

Company Information

• Company: LeanData
• Benefits:
  • Employee insurance premiums covered up to 90%
  • Stock options for all full-time employees
  • Flexible PTO
  • 401K plan
• Bonus Points: Familiarity with natural language processing (NLP), prior experience contributing to the development of a customer-facing AI product, and familiarity with data processing tools and AWS.