Highspot

Sr. Backend Software Engineer, Machine Learning

Vancouver, British Columbia, Canada

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, along with 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.) are required, as well as an in-depth understanding of machine learning concepts such as supervised and unsupervised learning, deep learning, and natural language processing.

Responsibilities

The Senior Machine Learning Engineer will collaborate with product and data science teams to identify opportunities, lead the development and deployment of machine learning solutions, and ensure scalability, reliability, and maintainability of machine learning models. They will also develop and maintain a robust machine learning platform, stay up-to-date with machine learning research, mentor junior team members, and partner cross-functionally across various teams to drive customer value and improve product offerings.

Skills

Python
Java
C++
TensorFlow
Keras
PyTorch
Supervised Learning
Unsupervised Learning
Deep Learning
Natural Language Processing
Spark
Flink
Hadoop
SQL

Highspot

AI-powered sales enablement platform

About Highspot

Highspot provides a sales enablement platform that helps sales teams improve their productivity and efficiency. Its main product, Highspot Copilot, is an AI-powered digital assistant that delivers the right content to sales representatives at the right time, enhancing their ability to engage and convert potential buyers. The platform supports sales teams by managing sales content, preparing reps for different selling scenarios, and facilitating personalized interactions through digital sales rooms. Highspot also includes features for onboarding and training sales reps, ensuring they are well-prepared for real-world situations. Unlike many competitors, Highspot focuses on driving measurable outcomes such as increased win rates and reduced ramp time for sales reps. The goal of Highspot is to empower sales teams to close deals more effectively and generate higher revenue.

Key Metrics

Seattle, WashingtonHeadquarters
2012Year Founded
$625.1MTotal Funding
SERIES_FCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Medical, dental, vision, disability, & life benefits
Group Retirement Savings Plan (RRSP)
Matching employer contributions (DPSP) with immediate vesting
3 Weeks of Paid Vacation
Generous Holiday Schedule
Quarterly Recharge Fridays
Flexible work schedules
Professional development opportunities
Discounted ClassPass membership
Access to coaches & therapists
2 Volunteer days per year

Risks

Highspot faces competition from larger rivals like Salesforce and Oracle.
Recent layoffs may impact Highspot's operational efficiency and innovation.
Reliance on AI technologies exposes Highspot to data privacy and ethics concerns.

Differentiation

Highspot offers a unified sales enablement platform with AI-driven features.
The platform integrates content management, training, and engagement intelligence for sales teams.
Highspot Copilot enhances sales productivity with AI-powered digital assistance.

Upsides

Highspot is recognized as a leader in the Forrester Wave report Q3 2024.
The partnership with Krisp enhances voice productivity in remote sales environments.
Highspot's Meeting Intelligence improves real-world coaching for better sales outcomes.

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