LeanData

Engineering

MachineLearningEngineer

$135–200k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Machine Learning Engineer at LeanData. Skills: Machine Learning, AI, Python, data analysis, model development, data pipelines. 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”

What You'll Achieve.

analyze customer journey and go to market data; uncovers insights tied to our customers’ success; delivers insights into a go-to-market strategies and their impact on success

Industry & Context.

Engineering
Problems you'll solve

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

Eligibility Requirements

An ML Engineer is required to be in office Mondays and Wednesdays each week.

What They're Looking For.

Must Have

ability to experiment with and explore diverse AI/ML libraries and tools, 6+ 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., Experience leading and mentoring a team of junior engineers while providing technical guidance and fostering a collaborative environment., 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.

Nice to 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.

What You'll Do.

prototype and experiment with a variety of AI/ML libraries

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

and optimize machine learning models to ensure high performance

Stay updated on emerging AI/ML trends

and techniques that can be used incorporated into the product

building and maintaining robust data and machine learning pipelines

including preprocessing

and deployment workflows.

How You'll Work.

Team & Collaboration

collaborating with cross-functional teams; Collaborative mindset with experience working in cross-functional teams.; Collaborate with product and engineering teams

Communication Scope

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

Full 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 - 6+ 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. - Experience leading and mentoring a team of junior engineers while providing technical guidance and fostering a collaborative environment. - Collaborative mindset with ex

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