LeanData
Engineering
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
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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