Staff Machine Learning Engineer (London)
New Yesterday
- Have a long track record of experience delivering high-value, high-impact, cross-team projects. Staff MLEs are one of the most senior individual contributors at HubSpot; they are leaders that continually strive to raise the bar for the engineering organization as a whole, and are expected to help drive the product vision forward via strong collaboration skills and hands-on coding.
- Wish to stay hands-on in all technical aspects while leading by example through collaborations with cross-functional and internal stakeholders.
- Have a history of developing solutions to problems 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.
- Expert understanding of a range of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning etc.), areas (e.g. NLP, RL, classification, recommendations, etc.), and tools (sklearn, pytorch, tensorflow, etc.).
- Expert in crafting the right architecture for a variety of ML problems from business requirements often identifying where ML solution can be effective in adjacent surface areas
- Your analysis expands beyond offline and online metrics. They analyze privacy, bias, security and maintainability concerns of models developed by their team
- Exhibit an enthusiasm for building reliable, scalable systems.
- Can guide teams beyond the status quo; we need engineers who lead us beyond what we have, and towards what we can build, while building a shared notion of how to get there.
- Deep expertise in the machine learning concepts behind Predictive AI (such as recommendation algorithms/systems, binary and multiclass classification, ranking and relevancy)
- Embodies our engineering team values.
- HubSpot Careers
- Life at HubSpot on Instagram
- Location:
- London
- Job Type:
- FullTime
We found some similar jobs based on your search
-
New Yesterday
Staff Machine Learning Engineer (London)
-
London
POS-23576 HubSpot is an all-in-one marketing, sales, and service software platform that helps businesses grow and succeed. With a user-friendly interface and powerful tools, HubSpot enables businesses to attract, engage, and delight customers, ultima...
More Details -
-
4 Days Old
Staff Machine Learning Platform/Ops Engineer Location: Kyiv, Ukraine; London, United Kingdom (London
-
Highbury, Greater London
Staff Machine Learning Platform/Ops Engineer At Preply, were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. We...
More Details -
-
4 Days Old
Staff Machine Learning Platform/Ops Engineer Location: Kyiv, Ukraine; London, United Kingdom (London
-
Highbury, Greater London
Staff Machine Learning Platform/Ops Engineer At Preply, were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. O...
More Details -
-
4 Days Old
Staff Machine Learning Platform/Ops Engineer (London)
-
London
We power people's progress. At Preply, were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is hu...
More Details -
-
4 Days Old
Staff Engineer - Machine Learning (London)
-
Highbury, Greater London
-
£150,000,000
Join to apply for the Staff Engineer - Machine Learning role at Hudl Join to apply for the Staff Engineer - Machine Learning role at Hudl At Hudl, we build great teams. We hire the best of the best to ensure youre working with people y...
More Details -
-
17 Days Old
Staff Machine Learning Engineer (London)
-
Whetstone, Greater London
Staff Machine Learning Engineer will play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. Youll work across product, data science, and engineering to lead delivery of complex ML systems. You'll also define the core MLOps capabilities for the...
More Details -