Sr. Backend Software Engineer, Machine Learning

About the Role

Our Machine Learning Team is developing next-generation AI capabilities for Highspot’s leading sales enablement platform. We stay at the forefront of machine learning research, continuously improving our models and algorithms through collaboration with product and data science teams. Our mission is to help our customers unlock the power of machine learning to improve productivities, sales performance, and achieve their business goals. We are looking for a Senior Machine Learning Engineer to join us in this effort.

What You'll Do

• Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability.

• Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings.

• Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills.

• Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site‑Reliability.

Your Background

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

• 5+ years of experience in developing and deploying machine learning models and systems

• Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)

• In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing

• Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases

• Strong problem‑solving skills and ability to analyze complex data sets.

• Excellent communication skills and ability to articulate complex technical concepts to non‑technical stakeholders.

• An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals.

• Comfortable with modern open source technologies and tools.

• Passion to learn new technologies and infrastructure.

Benefits

• Comprehensive medical, dental, vision, disability, and life benefits

• Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting

• Flexible PTO

• Generous Holiday Schedule + 5 Days for Annual Holiday Week

• Quarterly Recharge Fridays (paid days off for mental health recharge)

• Flexible work schedules

• Professional development opportunities through LinkedIn Learning

• Access to Coaches and Therapists through Modern Health

• 2 Volunteer days per year