Applied AI ML Senior Associate -AI Agents & Agentic Systems
Salary not listed • New York, NY, United States • Full-time
Posted 1mo ago
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Job Location
New York, NY, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Bring your applied research and machine learning skills to a team building modern, high-impact generative AI capabilities. You’ll work in a collaborative environment where experimentation, engineering excellence, and customer focus come together to deliver real outcomes. As an Applied AI ML Senior Associate within the Applied Artificial Intelligence and Machine Learning Data Platforms team, you will help design, develop, and productionize machine learning and deep learning solutions, including generative AI use cases. You will partner closely with product and engineering stakeholders to turn business needs into reliable models, workflows, and platform capabilities, contributing to a scalable platform approach that can support multiple business lines while maintaining strong standards for performance, quality, and usability.
Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
- Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments to evaluate and benchmark latest AI and agents techniques, analyzing results, and tuning models.
- Provide hands-on coding to bring experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
- Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks.
- Integrate Generative AI within the Agent Platform using state-of-the-art techniques.
Requirements
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
- At least 4 years' experience in one of the programming languages like Python, Java, C/C++, with intermediate Python being a must.
- At least 2 years’ experience in applying data science and ML techniques to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search), and agentic systems.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow-through.
- Excellent communication skills and team player.