Job Description

LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue.

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate will have a passion for experimenting with various AI libraries and tools, making recommendations, and collaborating with cross-functional teams to develop a product that uncovers insights tied to our customers’ success.

Role:

This role is based at our Santa Clara, CA office. An ML Engineer is required to be in office Mondays and Wednesdays each week. Lunch will be provided on those days. 

What you’ll be doing:

• 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 a 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

Requirements:

• Strong ability to experiment with and explore diverse AI/ML libraries and tools

• 3+ years of experience in machine learning with hands on experience building and deploying ML models

• Comfortable working with Python or similar programming languages for data analysis and model development. 

• Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.

• Collaborative mindset with experience working in cross-functional teams.

• Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence)

• Desire to learn

• Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.

Bonus points if you have: 

• Familiarity with natural language processing (NLP)

• Prior experience contributing to the development of a customer-facing AI product

• Familiarity with data processing tools and  AWS  is a plus.

• Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.

_ _

Why work at LeanData:

• LeanData covers employee insurance premiums up to 90%

• Stock options in LeanData for all full-time employees

• Flexible PTO

• 401K plan

Compensation

$135K – $200K

We value providing opportunities for professional growth, and hence, we typically refrain from offering at the upper limit of the salary range. This approach allows for future development within the role, ensuring that compensation can be adjusted to reflect an individual's advancing skills and contributions to the team while maintaining internal fairness.

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