Staff Machine Learning Engineer

HubSpot, Inc.; Berlin; On-site; EUR 85,000 - 120,000; Full time

Job summary

HubSpot, Inc. in Berlin is seeking a Staff Machine Learning Engineer to join the Predictive Models team within the AI Foundations Group. You will leverage deep expertise in machine learning to drive product vision forward through collaboration and hands-on coding.

The ideal candidate will have experience in delivering high-value projects and a robust understanding of ML techniques, tools, and predictive AI concepts. Responsibilities include guiding teams and crafting architectures for ML problems.

Qualifications

• Long track record of delivering high-value cross-team projects.
• Hands-on experience while leading through collaboration.
• History of impactful ML solutions on business goals.

Responsibilities

• Drive product vision through strong collaboration.
• Provide strategic direction for major projects.
• Analyze privacy, bias, and maintainability of models.

Skills

Machine learning techniques

Deep learning

Optimization

Collaboration

Mentorship

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Role Overview

The Predictive Models team is part of the AI Foundations Group at HubSpot and partners closely with the Predictive AI Platform team to deliver the next generation of predictive insights, scoring and recommendation models.

As a Staff Machine Learning Engineer on the Predictive AI Models team at HubSpot, you’ll take on many responsibilities—leveraging deep expertise in machine learning to drive product vision forward through strong collaboration and hands‑on coding.

Key Qualifications

• Have a long track record of delivering high‑value, high‑impact cross‑team projects; Staff MLEs are senior individual contributors expected to raise the bar for the engineering organization.
• Wish to stay hands‑on in all technical aspects while leading by example through collaboration with cross‑functional and internal stakeholders.
• Have a history of developing solutions that have had an outsized impact on a large organization’s business goals.
• Provide strategic direction for major projects.
• Regularly mentor and teach engineers in their areas of expertise.
• Demonstrate pragmatic decision‑making and problem‑solving abilities.
• Have expert understanding of a range of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning, etc.) and tools (scikit‑learn, PyTorch, TensorFlow, etc.).
• Expert in crafting the right architecture for a variety of ML problems from business requirements, often identifying where ML can be effective in adjacent areas.
• Analyze beyond offline and online metrics, considering privacy, bias, security, and maintainability of models.
• Show enthusiasm for building reliable, scalable systems.
• Guide teams beyond the status quo; lead toward new possibilities while building a shared path forward.
• Deep expertise in predictive AI concepts such as recommendation systems, classification, ranking, and relevancy.
• Embodies our engineering team values.

If you need accommodations or assistance due to a disability, please reach out to us using this form. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.