Machine Learning Engineer II

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 ML Team at Kensho is redefining how powerful financial data fuels the next generation of data-driven AI workflows.

We are at the forefront of developing novel methods for retrieving and synthesizing both structured (tabular data from relational databases) and unstructured data using natural language interfaces. Our innovations encompass building agents for autonomous data retrieval and analysis establishing new approaches to evaluation and creating agentic experiences that enable complex report generation deep research workflows and innovative user journeys. We are fundamentally shaping how AI-aided human interactions with complex financial data are facilitated.

Our solutions are integrated into multiple S&P Global and third-party platforms delivering tangible value to our clients (1 2) and ensuring that S&P Global clients can leverage our powerful financial data in ways that drive insights and support their strategic objectives.

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on full-lifecycle ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks designing novel and robust retrieval methods validating AI-generated outputs and building scalable systems that connect data to actionable insights.

If you are passionate about building the next wave of AI-driven products thrive in a collaborative fast-paced environment and are eager to push the boundaries of whats possible with data and intelligent agents we would love to hear from you!

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

• Solve unique challenges in agentic design and LLM orchestration including data access patterns memory and context management and conducting thorough evaluations of agent performance to ensure they meet user needs effectively.

• Work with unique proprietary unstructured and structured datasets applying advanced NLP techniques to extract insights and build solutions that drive business value.

• Actively participate in all stages of the ML lifecycle from problem framing and data exploration to model experimentation deployment and monitoring in production ensuring the continuous improvement and optimization of our Agentic Systems.

• Work closely with Data Product Design and Engineering teams to design and develop Agents to 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 You Are

• 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) and information retrieval systems with a strong focus on practical applications.

• Experience with all stages of the ML life-cycle including designing and experimenting to deploying and maintaining production systems.

• Strong proficiency in Python with a solid understanding of best practices in software development.

• Experience working with machine learning libraries and frameworks for Agent orchestration such as LangGraph pydanticAI etc.

• Experience in designing and iterating on agentic design understanding user interactions and evaluating agent performance to enhance user experiences.

• 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

• Agentic systems: Agentic Orchestration Deep Research Information Retrieval LLM code generation LLM tool utilization Multi-turn Conversationality Textual RAG systems

• Core ML/AI: DGL GNNs HuggingFace LangGraph LightGBM PyTorch SKLearn Transformers XGBoost

• Data Exploration and Visualization: Jupyter Matplotlib Pandas Weights & Biases

• Data Management and 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

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:

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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.