Sr Machine Learning Engineer (AI)
Claravine
Sr. Machine Learning Engineer (AI)
Who We Are
At the birth of digital, Claravine noticed a persistent problem with data integrity. This discovery led to a unique category solution that continues to redefine how top brands and agencies manage the digital experience. We take the drama out of data by standardizing data at the source, giving people, teams and technology a shared understanding of their data.
What We Do
Claravine is The Data Standards Company. We help brands and agencies deliver on the promise of modern marketing by standardizing taxonomies, naming conventions, and metadata across all digital experiences at the source of data creation. That’s why a quarter of the Fortune 100 use our platform, The Data Standards Cloud, to define, apply and connect standards across their ecosystem for faster decisions, greater agility, and increased ROI.
We Are Hiring
Here at Claravine, we're not just another tech company, we're transforming how the world's biggest brands handle their marketing data. The Senior Machine Learning Engineer at Claravine is a pivotal part of our AI Team, contributing expertise to build and ship critical ML services to production. This high-impact role will contribute to solving customer needs with new and creative approaches, and collaborate with cross-functional teams to ensure the reliability, scalability, and performance of our solutions.
What You’ll Do
Technical Contribution:
- Drive the design and implementation of classification and prediction models for text, videos and images.
- Build advanced semantic searches and insights for seamless integrations with the Claravine Data Standard Cloud Platform and customer systems.
- Improve AI classification performance through model tuning, feature optimizations, and making innovative bets using NLP and media processing libraries.
- Mentor and guide junior engineers, fostering a culture of continuous learning.
- Apply API design, RESTful principles to handle various data formats to/from ML services.
- Collaborate with product managers and additional stakeholders to understand customer needs and deliver high-quality solutions.
Collaboration and Problem Solving:
- Work closely with platform and integration engineers, DevOps, and QA teams to ensure end-to-end quality and smooth deployment of AI features into production.
- Communicate effectively with team members and stakeholders, providing regular updates and soliciting feedback.
- Troubleshoot and resolve issues related to scaling, model confidence and quality, identifying opportunities for improvement and optimization.
Tech Stack
- Python
- Transformer models
- NLP libraries
- LLMs - prompt engineering and finetuning
- Vector databases
- Managing unstructured data
- CLIP
- AV
- CV
- Python libraries for deep learning
- SQL
- Model hosting and deployment
- AWS
- ML Ops (incl. kubernetes) is a plus
- Agents exp. is a plus
Keys to Success
- 5+ years of ML engineering experience with increasing responsibility
- Professional experience writing enterprise code
- Drive to learn and solve big problems no matter the technology
- Excellent written and verbal communication skills
- Strong attention to detail and problem-solving skills
- Bachelor’s or Master’s degree in Computer Science or a related field.
- Strong problem-solving skills and the ability to write clean, maintainable code.
- Excellent communication skills, both written and verbal.
The starting salary for this role begins at $145,000 (US based) and is commensurate with experience and a demonstrated ability to drive meaningful results.