Machine Learning Engineer

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.

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. 

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  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

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  Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies

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  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

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  Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability

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  Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product

• 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 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.

• 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.