The easy-to-use CRM to scale your business.
Principal Machine Learning Engineer – AI Context
Location
Massachusetts
Posted
21 hours ago
Salary
$313K - $500K / year
Seniority
Lead
Job Description
Principal Machine Learning Engineer – AI Context
HubSpot
• Help define the technical direction for applied ML and AI systems that transform complex data into customer value. • Work across product, engineering, data, and ML teams to take ambiguous 0-to-1 opportunities through model development, evaluation, productionization, experimentation, and measurable customer or business impact.
Job Requirements
- Have a long track record of delivering high-value, high-impact, cross-team and cross-product projects.
- Wish to stay hands-on in technical design, model development, production systems, and code while leading by example through collaboration with cross-functional and internal stakeholders.
- Have a history of developing solutions to ambiguous problems that have had an outsized impact on a large organization's customer experience, product strategy, or business goals.
- Provide strategic direction and architectural leadership for major ML and AI projects across multiple teams, systems, or product surfaces.
- Regularly mentor, coach, and teach engineers in their areas of expertise, including helping senior ICs grow through complex technical projects.
- Demonstrate pragmatic decision-making and problem-solving abilities, including strong judgment around when to use ML, LLMs, retrieval, rules, platform changes, or product changes.
- Have expert understanding of a range of ML techniques, such as deep learning, optimization, regression, transformers, large language models, transfer learning, retrieval, ranking, recommendations, classification, NLP, and personalization.
- Are expert in crafting the right architecture for a variety of ML and AI Context problems from business requirements.
- Expand analysis beyond offline and online metrics by evaluating privacy, bias, security, reliability, cost, maintainability, model quality, and data governance concerns across the ML lifecycle.
- Exhibit enthusiasm for building reliable, scalable systems for data processing, feature generation, context retrieval, model training, inference, experimentation, monitoring, and feedback loops.
- Can guide teams beyond the status quo; we need engineers who lead us beyond what we have and toward what we can build, while creating a shared notion of how to get there.
- Bring deep expertise in the machine learning concepts behind Applied and Predictive AI, such as recommendation algorithms and systems, binary and multiclass classification, ranking and relevance, semantic retrieval, embeddings, entity understanding, and experimentation.
- Have experience turning messy, incomplete, or heterogeneous data into useful AI context for customer-facing products, such as customer, company, activity, workflow, conversation, behavioral, CRM, or unstructured document data.
- Embody our engineering team values.
Related Guides
Related Job Pages
More AI Engineer Jobs
• Building high-performance API services and implementing complex RAG and Agentic AI architectures. • Designing and implementing end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators. • Managing orchestration, tool integration, and robust error handling for non-deterministic AI outputs. • Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection. • Iterating systems based on performance metrics and continuous improvement practices.
Mobile Engineer – AI Finance Agent
BjakBjak is an innovation-focused technology firm dedicated to developing digital-based products and services, with a primary focus on insurance solutions. The comp
• Build and ship mobile features for Android and/or iOS. • Create simple mobile flows for insurance, payments, claims, renewals and financial services. • Work with product, design and backend teams to turn complex journeys into usable mobile products. • Integrate APIs and handle edge cases, loading states, errors and production issues. • Improve app performance, reliability, crash rate and user experience. • Support fast product launches, experiments and iterations across mobile journeys. • Help set high standards for mobile product quality across the app.
Mobile Engineer – AI Finance Agent
BjakBjak is an innovation-focused technology firm dedicated to developing digital-based products and services, with a primary focus on insurance solutions. The comp
• Build and ship mobile features for Android and/or iOS. • Create simple mobile flows for insurance, payments, claims, renewals and financial services. • Work with product, design and backend teams to turn complex journeys into usable mobile products. • Integrate APIs and handle edge cases, loading states, errors and production issues. • Improve app performance, reliability, crash rate and user experience. • Support fast product launches, experiments and iterations across mobile journeys. • Help set high standards for mobile product quality across the app.
Mobile Engineer – AI Finance Agent
BjakBjak is an innovation-focused technology firm dedicated to developing digital-based products and services, with a primary focus on insurance solutions. The comp
• Build and ship mobile features for Android and/or iOS. • Create simple mobile flows for insurance, payments, claims, renewals and financial services. • Work with product, design and backend teams to turn complex journeys into usable mobile products. • Integrate APIs and handle edge cases, loading states, errors and production issues. • Improve app performance, reliability, crash rate and user experience. • Support fast product launches, experiments and iterations across mobile journeys. • Help set high standards for mobile product quality across the app.
