Machine Learning Engineer II
Machine Learning Engineer II
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Job Description
Kensho is S&P Globals hub for AI innovation and transformation. With expertise in Machine Learning and data discovery we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kenshos solutions and research focus on speech recognition entity linking document extraction automated database linking text classification natural language processing and more.
The Vector Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation retrieval-augmented generation (RAG) pipelines. We specialize in building robust retrieval systems scalable embedding infrastructure and tightly integrated LLM pipelines that leverage unstructured data sources.
Our mission is to make complex unstructured data easily discoverable and actionable by building intelligent retrieval-driven systems that enhance enterprise search question answering deep research report generation and knowledge discovery experiences across S&P Global platforms.
We are 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.
Kensho states that the anticipated base salary range for the position is 150k - 190k. In addition this role is eligible for an annual incentive bonus and equity plans. At Kensho it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
What Youll Do:
Design and implement end-to-end RAG pipelines that integrate 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 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 from initial technical design to seamless implementation
Who Youll Need:
Bachelors 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 including designing shipping and maintaining production systems
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 such as Langchain LLamaIndex etc
Proven experience building ML pipelines for data processing training inference maintenance evaluation versioning and experimentation
Experience working with vector databases (e.g. PGVector OpenSearch Pinecone) and understanding of similarity search techniques and vector indexing algorithms
Demonstrated effective coding documentation collaboration and communication habits
Strong problem-solving skills and a proactive approach to addressing challenges
Ability to adapt to a fast-paced and dynamic work environment
Technologies We Love:
ML: PyTorch Transformers HuggingFace LangChain LlamaIndex
Tools/Toolkits: LabelBox Weights & Biases OpenSearch PGVector LiteLLM
Techniques: RAG Prompt Engineering Information Retrieval Data Embedding
Deployment: Airflow Docker Kubernetes Jenkins AWS
At Kensho we pride ourselves on providing top-of-market benefits including:
Medical Dental and Vision insurance
100% company paid premiums
Unlimited Paid Time Off
26 weeks of 100% paid Parental Leave (paternity and maternity)
401(k) plan with 6% employer matching
Generous company matching on donations to non-profit charities
Up to $20000 tuition assistance toward degree programs plus up to $4000/year for ongoing professional education such as industry conferences
Plentiful snacks drinks and regularly catered lunches
Dog-friendly office (CAM office)
Bike sharing program memberships
Compassion leave and elder care leave
Mentoring and additional learning opportunities
Opportunity to expand professional network and participate in conferences and events
Recruitment Fraud Alert:
If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications interviews offer letters pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines fraudulent domains and how to report suspicious activityhere.
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge MA with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity or national origin.
Employment Type
Full-Time
