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Machine Learning Engineer
2 months ago
Company: Pixalate
Location: Remote, US
Job Type: Full-time Contract
About Us:
Pixalate is a leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising. We provide cutting-edge SaaS technology solutions, data, and research to identify, quantify, and mitigate ad fraud and data privacy compliance risks in digital advertising.
Job Description:
We are seeking a highly skilled Machine Learning Engineer to join our Research team (AFAC). As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs) and working with data to train various models. You will collaborate with cross-functional teams to design and develop AI solutions, develop and deploy machine learning models at scale, and monitor their performance in production. You will also explore new AI techniques and methodologies and stay up-to-date with the latest AI research.
Responsibilities:
- Design, implement, and maintain AI systems to interact with ChatGPT and integrate with OpenAI's APIs.
- Develop and optimize AI models and architectures for various applications.
- Be responsible for training models and testing various assumptions.
- Collaborate with cross-functional teams to design and develop AI solutions.
- Develop and deploy machine learning models at scale and monitor their performance in production.
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, or related field.
- Experience in designing and implementing AI systems, including Natural Language Processing (NLP) systems, and Large Language Models (LLMs) such as GPT.
- Proficiency in one or more programming languages like Python, Java, C++, etc.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
- Familiarity with cloud computing platforms like AWS, GCP, etc.
- Experience in building and deploying machine learning models in production environments, including models that use LLMs.
Preferred Qualifications:
- Experience with generative model training, tuning, and optimization.
- Experience with distributed systems and big data processing technologies.
- Experience with software engineering best practices like version control, testing, and code review.
- Good understanding of statistics and probability theory.
- Strong experience with AI technologies and their application in advertising.
What We Offer:
We offer a competitive salary, great benefits, and a dynamic work environment where you will have the opportunity to work on cutting-edge AI technologies with some of the best minds in the industry.
