Sr. Machine Learning Engineer at Highspot

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Sales EnablementIndustries

Requirements

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: 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

Responsibilities

Collaborate with product and data science teams to identify opportunities that drive customer values, 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 product offerings
Stay up-to-date with the latest machine learning research and trends, and apply them to product offerings
Mentor and collaborate 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

Skills

Key technologies and capabilities for this role

Machine LearningAIModel DeploymentML PlatformScalabilityReliabilityMaintainabilityAlgorithmsMachine Learning Research

Questions & Answers

Common questions about this position

What experience level is required for the Senior Machine Learning Engineer role?

The role requires 5+ years of experience in developing and deploying machine learning models and systems.

What programming languages and machine learning libraries are needed?

Strong proficiency is required in at least one programming language such as Python, Java, or C++, along with experience in machine learning libraries like TensorFlow, Keras, or PyTorch.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is Highspot's company culture like?

Highspot focuses on creating equitable workspaces where everyone feels a deep sense of belonging, is empowered to be an agent of change, and can transform themselves, their workplace, and their world.

What education and key skills make a strong candidate for this role?

Candidates need a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, plus strong problem-solving skills, excellent communication skills, and an entrepreneurial spirit.

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.

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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