Machine Learning Engineer – Co-op

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement machine learning and large language models.

• Create and enhance AI agents to improve automation and decision-making processes.

• Improve model inference speed, storage efficiency, and scalability for practical applications.

• Develop pipelines and MLOps workflows to facilitate model training, evaluation, and deployment.

• Contribute to the evaluation and monitoring platform for ML, LLM, and agents.

• Explore new technologies related to ML, LLM, and agents.

• Integrate machine learning and Generative AI models.

• Enable applications powered by ML/LLM technologies.

• Work collaboratively with data scientists, engineers, and product teams to deliver scalable ML solutions.

⛳️ Requirements

• Currently enrolled in an advanced degree program (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering, or a related quantitative field with a strong emphasis on data.

• Proficient in Python programming.

• Familiarity with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.

• Experience with Generative AI, LLMs, and agentic frameworks like LangChain and AutoGen.

• Capable of writing clean, efficient, and scalable code.

• Experience with cloud platforms, ML development tools, and ML deployment tools.

• Active participation in a master's or PhD program.

• Familiarity with NodeJS or Java is a plus.

• Knowledge of LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM, HuggingFace, or reinforcement learning techniques is advantageous.

🏝️ Benefits

• Flexible work location: options to work from home, the nearest office, or in a hybrid model, subject to location restrictions and role requirements.

• Reasonable accommodations for qualified individuals with disabilities.