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# Machine Learning Engineer

- **Company:** KENSHO INC.
- **Location:** New York, NY, United States
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Code Generation, Data Security, Memory Management, Information Retrieval, Interaction Design, Python (Programming Language), PostgreSQL, Machine Learning, Tensorflow, Search Technologies, SQLite, Pytorch, Large Language Models, Grafana, Multi-Agent Systems, Apache Spark, Deep Learning, Jupyter, Fastapi, Pandas, Matplotlib, Scikit Learn, HuggingFace, Xgboost, Data Management, Machine Learning Operations, Streamlit Framework, Docker, Jenkins
- **Published:** September 10, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-summer-intern-2027-3001-sp-global-uk-limited-9977080

## About the Role

Outstanding people come from all different backgrounds, and we're always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we'd love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:

 * Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
 * Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences.
 * Experience with advanced machine learning methods
 * Statistical knowledge, intuition, and experience modeling real data
 * Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
 * Demonstrated effective coding, documentation, and communication habits
 * Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience

Technologies & Tools We Use:

 * Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems
 * Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost
 * Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse
 * Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite
 * Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM
 * Prototyping & Development: Claude Code, FastAPI, Streamlit, Gradio

## Description

* Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
 * Lead a project to prototype, build, and test ML models and pipeline components under the guidance of senior engineers.
 * Gain hands-on experience across the ML model lifecycle, from problem framing to model selection, pipeline development, evaluation, and deployment support.
 * Work within a cross-functional team of ML Engineers, Product Managers, Designers, and Full-Stack Engineers while receiving active mentorship and continuous feedback.


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