AI/ML Engineer
The Role
We are seeking an innovative AI/ML Engineer to own the definition, scaling and expansion of AI/ML solutions at Redpine. Our mission is to be the leading global platform for trusted AI data. In this role, you will be instrumental in developing and implementing machine learning solutions that power our platform, enabling organizations to efficiently source, validate, and manage high-quality training data for their AI models.
At Redpine, we're rethinking how AI builders access and utilize multi modal data for their services and applications. You will be among the first key employees building sophisticated algorithms for data quality assessment, automated validation and evaluation systems, and intelligent data matching solutions.
We are looking for a “founders mindset” of holistic problem solving, and that you are comfortable with taking proactive action paired with lots of freedom/responsibility.
Key Responsibilities
Design and implement machine learning models for data quality assessment and validation
Develop algorithms for automated data labeling and annotation verification
Create and maintain data processing pipelines for various AI training data types
Develop and optimize matching algorithms between data providers and buyers
Implement scalable solutions for processing and analyzing large datasets
Collaborate with the product team to develop new features for the marketplace platform
Research and implement state-of-the-art ML techniques for data quality improvement
Work with customers and stakeholders to understand and implement data requirements for various AI use cases
Qualifications
Master's or Ph.D. in Computer Science, Machine Learning or similar
Strong experience in developing, training and deploying AI / Machine Learning models
Proficiency in Python and ML frameworks (PyTorch, R, Scala, Huggingface)
Knowledge of model deployment techniques and serving frameworks like TensorFlow Serving, TorchServe, or custom APIs
Experience with large-scale data processing and distributed computing
Familiarity with various types of AI training data (image, text, audio, video)
Experience with containerization and orchestration tools like Docker and Kubernetes as well as version control tools such as Git.
Strong communication skills and ability to work in a fast-paced environment
Comfortable writing queries, exploring data, and collaborating on hypotheses with product and engineering counterpart
Bonus points
Experience with data annotation tools and platforms
Knowledge of MLOps and ML deployment practices
Contributions to open-source ML projects
Why Join Redpine?
Be part of a cutting-edge company shaping the future of AI-driven data monetization.
Work in a global-first, AI-native environment with industry-leading professionals.
Enjoy a competitive base salary with significant equity upside.
About Redpine
Redpine is an AI-native, global-first company unlocking the value of proprietary data for AI. We enable businesses to monetize their data through a seamless marketplace, connecting suppliers, customers, and partners in a fast-growing ecosystem. We embrace a culture of curiosity, speed, innovation and technical excellence. We believe in continuous learning, experimentation, and pushing the boundaries of what's possible in AI technology.
If you are an experienced AI/ML engineer eager to make an impact in the AI space, we’d love to hear from you.
Send us your application at careers@redpine.ai