Senior Machine Learning Engineer

6 days ago

Dublin, Dublin City, Ireland The Hustle Full time

Join to apply for the Senior Machine Learning Engineer role at The Hustle.

HubSpot's mission is to help millions of companies Grow Better. We believe machine learning (ML) and AI will allow our Go-to-Market (GTM) teams to more effectively serve even more companies. We're seeking a talented, experienced Senior ML Engineer to join our Data, Systems & Intelligence (DSI) team to support internal Sales and Customer Success (CS) clients through the delivery of scalable AI/ML and other data products to improve the efficiency and efficacy of frontline Sales and Customer Success reps and solve for their pain points.

You will be joining a high-growth, high-powered team of Data Scientists, ML Engineers, and Analytic Engineers that deeply values intellectual curiosity, collaboration, and autonomy. You will have an enormous impact in a rapidly growing space–we've got big plans and want talented, passionate engineers to help us achieve them. In addition to working within the team, you will embed with our Flywheel Product team of Backend Engineers building ML/AI-driven solutions for CS reps. HubSpot is early in its internal ML/AI maturity curve, which provides a unique opportunity for big impact.

Objectives of this Role
  • Build, train, evaluate, and deploy ML models and generative AI (GAI) solutions at scale
  • Work with complex datasets (both structured and unstructured) to extract relevant features and insights
  • Conduct experiments and evaluations of ML and generative AI models, using statistical methods and visualization tools to assess performance and identify areas for improvement
  • Train and fine-tune LLMs for specific, tailored use cases
  • Build strong relationships with internal stakeholders and develop a deep understanding of their business problems
  • Keep current with the research and trends in AI/ML/GAI, and contribute to the development of new algorithms and techniques
  • Participate in code reviews, testing, and documentation activities, ensuring high quality and maintainability of the codebase
  • Mentor other junior ML Engineers and Data Scientists to improve their coding proficiency, algorithmic efficiency and general knowledge of the rapidly evolving field
About You
  • Degree in computer science, statistics, applied mathematics, economics, or other quantitative discipline
  • 3+ years experience in machine learning with multiple models deployed in operational settings
  • Expert knowledge of a breadth of machine learning/AI techniques and a thorough understanding of the best approach to use for a given situation
  • Strong familiarity of Python programming and ML frameworks (Scikit-learn, TensorFlow, PyTorch, HuggingFace, etc.)
  • Familiarity with CI/CD systems (e.g. GitHub Actions, Jenkins, CircleCI, etc.)
  • Familiarity with monitoring & alerting systems (DataDog, Monte Carlo, Cloudwatch)
  • Familiarity with Snowflake, SQL, as well as DBT and jinja templating
  • Familiarity with standard ML deployment stack (Docker, Kubernetes, Spark, dask, etc.)
  • Ability to own a software project from planning to maintenance. Agile or scrum familiarity preferred. Works well with backend/frontend/full stack engineers.
  • Able to clearly communicate technical concepts to business leaders
  • Creative, collaborative problem solver with experience delivering iterative solutions to difficult problems
Bonus Points
  • MS or PhD in a quantitative field
  • Familiarity with Java
  • Experience working with Kafka or other streaming data
  • Prior academic or industrial experience with LLMs or RAG flows
  • Prior experience supporting GTM teams or functions, especially in B2B SaaS companies
  • Familiarity with vector databases

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply — we'd love to hear from you.

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.

At HubSpot, we value both flexibility and connection. Whether you're a Remote employee, or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers' needs at any stage of growth. We're also building a company culture that empowers people to do their best work. If that sounds like something you'd like to be part of, we'd love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022 and has been recognized for its award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees across the globe work remotely and in HubSpot offices. Visit our careers website to learn more about the culture and opportunities at HubSpot.

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