Staff Machine Learning Engineer

HubSpot, Inc.; Camden Town; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading technology company in Camden Town is seeking a Staff Machine Learning Engineer to join their Signals team. In this role, you will deliver high-impact projects, mentor engineers, and develop ML solutions that align with business goals. Ideal candidates will have a strong understanding of machine learning techniques and proven leadership capabilities. Flexible work arrangements and support for accommodations are available.

Qualifications

• Expert understanding of ML techniques, problem domains, and tooling (e.g., PyTorch, TensorFlow, scikit-learn).
• Proven track record of delivering high-impact, cross-functional projects.
• Strong leadership, collaboration, and mentorship capabilities.
• Ability to balance hands-on coding with strategic direction and roadmapping.

Responsibilities

• Deliver high-value, cross-team projects and help drive product vision forward.
• Lead by example while remaining deeply technical, guiding multiple teams.
• Develop solutions with outsized impact on business goals.
• Mentor and teach engineers in their areas of expertise.
• Architect ML solutions across a range of techniques and tools.
• Analyze privacy, bias, security, and maintainability concerns of models.

Job description

The Signals team is part of the AI Platform Group at HubSpot and delivers predictive data products to product teams across the company, enabling them to create easy, accurate, and consistent AI features for our customers and their customers. As a Staff Machine Learning Engineer on the Signals team at HubSpot, you will perform several senior IC responsibilities while staying hands-on and collaborating across the organization.

Responsibilities

• Deliver high-value, cross-team projects and help drive the product vision forward through collaboration and hands-on coding.
• Lead by example while remaining deeply technical, often guiding multiple teams and stakeholders.
• Develop solutions with outsized impact on business goals, and provide strategic direction for major projects.
• Mentor and teach engineers in their areas of expertise.
• Demonstrate pragmatic decision-making and problem-solving abilities.
• Architect ML solutions across a range of techniques, domains, and tools (e.g., NLP, RL, classification, recommendations; deep learning, transformers, transfer learning; sklearn, PyTorch, TensorFlow).
• Craft architectures appropriate for a variety of ML problems and identify opportunities where ML can add value in adjacent areas.
• Analyze beyond offline and online metrics, including privacy, bias, security, and maintainability concerns of models.
• Build reliable, scalable systems and guide teams toward ambitious, growth-oriented goals.
• Demonstrate deep expertise in Predictive AI concepts (e.g., recommendation systems, binary and multiclass classification, ranking and relevancy).
• Model leadership aligned with HubSpot engineering values and aspire to elevate the organization’s engineering standards.

Qualifications

• Expert understanding of ML techniques, problem domains, and tooling (e.g., PyTorch, TensorFlow, scikit-learn).
• Proven track record of delivering high-impact, cross-functional projects.
• Strong leadership, collaboration, and mentorship capabilities.
• Ability to balance hands-on coding with strategic direction and roadmapping.

Additional Information

If you are passionate about leveraging machine learning to transform how businesses interact with customers in a collaborative work environment, we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using the form provided. HubSpot supports flexible work arrangements and in-person onboarding as appropriate for your role. If you require accommodations due to travel limitations or other reasons, please inform your recruiter during the hiring process.