Position Type: Full Time
Location: Remote
Salary Range / Rate (Currency): $130,000 - $180,000 per year
Job ID#: #148181
Company Overview:
Backed by top-tier investors, including a16z, we are building the monetization layer for the next generation of Generative AI traffic. Our mission is to create a real-time information layer for the GenAI age, where AI-native content takes center stage and drives consumer engagement. If you're passionate about cutting-edge technologies and building scalable systems, this is the perfect opportunity for you.
Role Overview:
As a Senior Machine Learning Engineer, you will play a crucial role in designing and building scalable machine learning systems that power our AI-native ad platform. You will collaborate closely with the engineering team to develop and optimize ML models and pipelines, integrating them into a low-latency, high-throughput backend system.
Responsibilities
- Develop, train, and deploy machine learning models that drive ad recommendations and bidding systems within our AI-native advertising platform.
- Build and optimize NLP pipelines to interpret user intent, enabling real-time product recommendations and personalized ads.
- Design and scale the machine learning infrastructure to support large-scale, AI-driven ad systems, ensuring low latency and high reliability.
- Explore and implement new ML algorithms and techniques to continuously improve system performance and scalability.
- Collaborate closely with cross-functional teams, including backend engineers and product managers, to align business objectives with technical solutions.
- Utilize cloud platforms (GCP, AWS) and distributed computing technologies to manage and scale machine learning models.
Requirements
- Proven experience in machine learning, with expertise in deep learning architectures and frameworks like PyTorch or TensorFlow.
- Strong proficiency in NLP (Natural Language Processing) and large language models (LLMs), including experience building and optimizing embedding models.
- Hands-on experience with Python and related ML libraries.
- Knowledge of backend systems, including API development, database optimization, and high-concurrency environment management.
- Experience in ads systems, including familiarity with bidding, auction algorithms, and optimizing ad performance metrics.
- Experience with cloud platforms (GCP, AWS) and distributed computing technologies is a plus.
- Strong problem-solving skills, ability to iterate quickly, and eagerness to experiment with innovative solutions.
- Self-starter mindset with the ability to work independently in a remote, fast-paced startup environment.
- Mandarin or experience working with international teams is a plus but not required.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue leading global talent solutions.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at .
#J-18808-Ljbffr