
Cutting-Edge Machine Learning Engineer
3 days ago
About our organization: We help marketing and sales teams overcome data fragmentation, injecting intelligence into every step of the buyer journey. Our mission is to empower clients to orchestrate actions seamlessly across advertising, experiences, and sales motions, allowing them to spot opportunities earlier, engage intelligently, and close deals faster.
We are committed to employee growth, innovation, and diversity. With offices in various locations, we foster an inclusive environment, recognized as one of the best workplaces.
About the Role
As a Senior Machine Learning Engineer, you'll play a strategic role in building cutting-edge machine learning systems that drive business decisions. This role involves architecting and scaling solutions that detect, classify, and map technographic signals from diverse sources (e.g., LinkedIn, SSL certs, blogs, subdomains) to our structured product catalog.
You'll apply a combination of traditional ML, deep learning, and Large Language Models (LLMs) to transform unstructured signals into actionable intelligence.
Responsibilities
- Develop scalable, production-ready ML + LLM hybrid systems for:
- Signal extraction
- Entity resolution from noisy data (e.g., job descriptions, SSL certs)
- Product mapping via instruction-tuned LLMs and vector databases
- Use foundation models like LLaMA and Gemma for contextual understanding, enabling semantic inference of products, categories, and subcategories.
Key Skills & Qualifications
- Machine Learning & LLM Development
- Large Language Models (LLMs)
- Deep Learning
- Vector Databases
- Model Deployment & Monitoring
Benefits
We offer a dynamic work environment with opportunities for growth and collaboration. You'll have access to cutting-edge tools and technologies, as well as professional development resources.
Career Advancement
We're committed to helping you achieve your career goals. Our team is passionate about mentoring and guiding junior engineers and data scientists to develop their skills and expertise.
Innovation & Research
- Stay up to date with LLM advancements and experiment with new architectures.
- Contribute to our AI strategy by identifying opportunities where LLMs can create impact.
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