# Machine Learning Engineer

**Company**: Kensho
**Location**: Cambridge
**Experience**: mid
**Job type**: full-time
**Salary**: 140k - 180k
**Category**: Engineering
**Industry**: Technology

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Machine-Learning-Engineer-II_330645?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3fc05bc7-567

## Description

Kensho is seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking.

The DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources.

Responsibilities:

- Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents

- Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques

- Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses

- Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG

- Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives

- Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle

Requirements:

- Bachelor's degree or higher in Computer Science, Engineering, or a related field

- 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing

- Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace

- Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration

- Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation

- Experience working with vector databases and understanding of similarity search techniques and vector indexing algorithms

Benefits:

- Medical, Dental, and Vision insurance

- 100% company paid premiums

- Unlimited Paid Time Off

- 26 weeks of 100% paid Parental Leave

- 401(k) plan with 6% employer matching

- Generous company matching on donations to non-profit charities

- Up to $20,000 tuition assistance toward degree programs

- Plentiful snacks, drinks, and regularly catered lunches

- Dog-friendly office

- Bike sharing program memberships

- Compassion leave and elder care leave

- Mentoring and additional learning opportunities

## Skills

### Required
- Python
- PyTorch
- Transformers
- HuggingFace
- LangChain
- Large Language Models
- Information Retrieval
- Natural Language Processing

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Machine-Learning-Engineer-II_330645?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)